Solar photovoltaic energy is growing at a rate that seemed impossible just a few years ago. Falling prices for photovoltaic technology, climate commitments, and the need to diversify energy mixes are driving a global wave of solar photovoltaic park construction.
Organizations like the International Energy Agency anticipate that by 2035, installed solar capacity will need to triple annually , requiring almost a doubling of the workforce . Faced with this significant and often overlooked challenge, a solution is already underway, and it doesn’t involve hard hats or overalls. Increasingly, the solution lies in automation and robotics.
From mobile robots and drones to artificial intelligence algorithms, robotic solutions are being integrated into all phases of a photovoltaic project, from initial design to long-term maintenance .
In this edition of Energy 4.0, we will explore how robotics is transforming every stage of solar projects, presenting real-world examples of its application, analyzing the technical and economic benefits, and outlining emerging trends for the next five to ten years. We will also reflect on what all this means for solar plant planning in our regions, where local conditions present both unique opportunities and challenges.
Robotics in All Phases of a Photovoltaic Solar Project
Robotics is already being applied throughout the entire lifecycle of a photovoltaic project: design, construction, operation, and maintenance. Let’s review its role in each key phase:
1. Design and Planning
In the design and planning stage, the priority is to analyze the terrain and optimize the layout of the solar plant. Here, robotic tools are greatly streamlining traditional tasks such as topographic surveying and marking installation points.
- Mapping drones: Unmanned aerial vehicles equipped with GPS and cameras generate detailed topographic maps of large areas in record time. For example, professional drones (such as DJI or Wingtra models) are used to create high-precision orthomosaics, identifying slopes, obstacles, and the best placement of solar panels.
https://aerovant.com/topografia-y-construccion/embed/#?secret=wNSbPWfwJa#?secret=eV5AKZeQlP
- Autonomous marking robots: Once the design is defined, small ground robots can mark the coordinates on the ground where the structures and piles will be driven. Specialized companies have developed robots like CivDot that, guided by the digital plan, move across the terrain placing stakes or markers with precision. This reduces days of manual surveying to just hours, ensuring that the construction phase begins with a well-aligned foundation.
https://www.civrobotics.com/robots/layout-robots/civdot-plus
- Robotics-optimized design: Engineers are also beginning to “design with robots in mind.” This means planning photovoltaic plants with spacing, access points, and configurations that facilitate the operation of cleaning robots or inspection drones. In short, the goal is to make the plant “robot-friendly” from the ground up, avoiding unnecessary obstacles and planning routes for autonomous machines.
Taken together, these design innovations accelerate project preparation and lay the foundation for more efficient construction. Data captured by drones and robots feeds digital models (digital twins) that simulate plant behavior, optimize the precise location of each panel, and even predict future maintenance. The design phase thus becomes more accurate, faster, and data-driven , reducing costly errors later on.
2. Construction and Installation
The construction phase of a photovoltaic plant is labor-intensive: site preparation, pile driving, panel assembly, cabling, etc. Robotics is revolutionizing this stage by automating the heaviest and most repetitive tasks , increasing construction speed without compromising quality or safety.
- Autonomous Earthmoving Machinery: Before installing panels, the ground must be prepared. Today, autonomous bulldozers, excavators, and graders (developed by companies like Caterpillar and Komatsu) are capable of operating without a driver to level the site, dig trenches, or open roads. This equipment can work 24 hours a day, significantly reducing construction time. For example, Caterpillar’s autonomous bulldozers are already being used in large projects and can prepare extensive areas faster than traditional human-machine crews. By working continuously and precisely, they help meet deadlines even in regions with a shortage of skilled operators.
https://eu.develon-ce.com/en/innovation-concept-x
- Pile driving and foundation robots: One of the most repetitive processes is the installation of the piles or stakes that support panel structures. Startups like Built Robotics have adapted backhoes with intelligent systems that allow them to place piles autonomously . This has proven to multiply productivity: a task that normally requires 6-7 operators can be carried out with just 2 workers supervising and a robot, tripling the driving speed . The machine performs the heavy, precise work, while humans monitor and handle critical aspects. This hybrid approach not only accelerates construction but also frees up personnel for other specialized tasks.
https://inspenet.com/noticias/construir-parque-solar-robot-built-robotics
- Automated Panel Installation: Installing thousands (or millions) of solar panels on structures is another task where cutting-edge robots come into play. In 2024, AES Corporation introduced “Maximo ,” the first AI-enabled autonomous panel installation robot. About the size of a pickup truck, Maximo uses a robotic arm with suction cups to grip panels and place them with millimeter precision in the rows of the solar plant. Thanks to computer vision and machine learning algorithms, this robot can position each module exactly, correcting its alignment in real time. Using this robot promises to reduce both the time and cost of solar panel installation by at least half compared to traditional methods. It also significantly decreases the risk of injuries associated with manually handling panels and can operate 24/7.
- Collaborative Robots on Construction Sites: Other companies have opted to combine robots and humans working side-by-side . A prime example is the US contractor Rosendin , which in 2025 demonstrated a three-part autonomous robotic system for human-assisted panel installation. Their solution includes a placement robot (tracked, with an arm and suction cups) and transport robots that carry the panels from the pallet to the row. In field tests, a mixed team of two technicians plus the robots installed 350-400 panels per 8-hour shift , two to three times more than a standard human team of three to four people. The robots handle the heavy and repetitive work, positioning modules with 2 mm accuracy and lifting up to 45 kg, while the workers focus on connecting cables and ensuring quality. This collaborative robotics approach demonstrates how machines can enhance human productivity rather than replace it, while also improving safety on the construction site.
- “Mobile factories” and comprehensive automation: Taking automation a step further, integrated systems are emerging that automate almost the entire assembly process. The startup Terabase Energy developed a kind of portable factory called Terafab , which combines assembly robots, automated transport, and a digital platform. In 2023, Terafab successfully completed its first commercial deployment, installing 17 MW of panels at the White Wing Ranch solar park (225 MW) in Arizona, achieving construction 25% faster than with conventional methods.
In short, robotics in construction is accelerating the completion of solar farms from months to weeks, reducing labor costs and improving safety. Where crews once toiled under the blazing sun lifting panel after panel, tireless robotic arms now perform those tasks, while technicians supervise multiple work areas simultaneously. This is especially valuable in harsh environments (deserts, high temperatures) and in markets with a shortage of skilled construction workers.
3. Intelligent Operation and Maintenance (O&M)
Once a solar plant is operational, robotics continues to add value throughout its lifespan. Operation and maintenance tasks at large photovoltaic plants include periodic panel cleaning, equipment inspection, vegetation management, and repairs. Incorporating robots into these tasks allows the plant to maintain peak performance at a lower cost and with greater safety.
- Solar panel cleaning robots: Accumulated dirt (dust, sand, pollution) on solar panels can reduce their efficiency by up to 30% if they are not cleaned. Traditionally, manual cleaning with water is expensive, slow, and sometimes impractical (especially in deserts where water is scarce). This has led to the development of robotic, dry, and autonomous cleaning solutions . For example, the Israeli company Ecoppia has deployed over 2,700 MW of cleaning robots in plants in the Middle East, India, and the Americas. Their Ecoppia H4 model is a robot that travels along rows of panels without using water , removing dust with microfiber brushes and controlled-pressure air. This robot is powered by its own solar panels and batteries, operating at night to avoid interrupting daytime power generation. A single Ecoppia H4 can clean 1 km of panels in less than an hour , moving along rails or the tracker structure. Furthermore, it can operate on installations with tilts of up to 45-50°, adapting to both fixed and single-axis tracking structures. Other companies offer similar solutions: for example, SolarCleano (Luxembourg) manufactures tracked robots that position themselves on the panels and sweep away dust, also operating autonomously at night. The technical benefits are clear: always-clean panels maximize electricity production, and by eliminating the need for water, millions of liters are saved annually in arid regions. Economically, although these robots require an initial investment, they drastically reduce operating costs for cleaning and pay for themselves quickly. A pilot project in Spain demonstrated that robotic automation of panel washing could cut up to 80% of cleaning operating costs in a solar park, activating the robots only where and when needed (thanks to intelligent dirt detection).
- Inspection and surveillance drones: Visual and thermographic inspection of panels, inverters, and other infrastructure is another area transformed by robotics. Instead of sending technicians to inspect hundreds of thousands of modules, drones equipped with HD and thermal cameras now fly over the plant on a scheduled basis. These drones capture infrared images to detect hot spots, faulty cells, or loose connections , generating fault reports very efficiently. For example, the company Raptor Maps has developed AI software that automatically analyzes images captured by drones and identifies electrical anomalies in the panels. A single drone can inspect tens of megawatts in hours, something that would take days manually. Furthermore, drones can access dangerous or hard-to-reach areas (e.g., overhead cables, solar rooftops) without risking personnel, and they are also used for perimeter surveillance of the plant.
- Ground-based inspection and security robots: At ground level, some operators are testing autonomous rovers that patrol between rows of panels. Equipped with 360° cameras, LIDAR sensors, and even manipulator arms, these robots can detect intrusions, identify damaged equipment, and even tighten loose screws on structures. While ground-based inspection robots are less widespread in solar photovoltaics than drones or cleaning robots, it is an area of active experimentation. In 2025, the Spanish company EDP tested a comprehensive autonomous system where drones and robots work in coordination : drones scan the park, identifying dirt or weeds, and send commands to ground-based robots to go only to the necessary areas to clean panels or cut vegetation. This combined approach (drones + rovers + AI) maximizes efficiency by acting only where needed , avoiding unnecessary cleaning and reducing human intervention in remote areas. The expected result is a drastic decrease in costs and safer operations by limiting personnel exposure to harsh environments.
https://taypro.in/bn/blog/benefits-of-using-solar-panel-cleaning-robot-in-a-solar-plant
- Automated vegetation control: In plants built on large plots of land, keeping weeds under control is crucial to prevent shading on the panels and fire hazards. Traditionally, manual brush cutters, livestock (sheep), or herbicides are used, but robotics offers more sustainable alternatives. Endesa (Spain) has tested autonomous, solar-powered robots to cut grass in areas where grazing is not viable and the use of chemicals is undesirable. These robots function like small, automated tractors that travel across the field mowing grass on steep slopes or uneven terrain, complementing environmentally friendly soil management practices. As with cleaning, sensors can indicate when and where to activate the mowing robots, optimizing the frequency of weed control and minimizing intervention.
- Predictive maintenance and remote response: Robotics goes hand in hand with digitalization. Data captured by drones, robots, and IoT sensors feeds intelligent platforms that predict failures before they occur . For example, real-time management systems (advanced SCADA) analyze the production of each string of panels; if they detect an anomalous deviation, they can dispatch a drone to inspect that specific area. With the help of AI, thermal images can be cross-referenced with meteorological data to infer whether a drop in performance is due to dirt, shading, or a breakdown, and automatically decide on the corrective action. During the COVID-19 pandemic, these capabilities allowed companies to operate their renewable energy plants with minimal on-site staff, relying on smart glasses and telepresence so that remote experts could guide the few technicians in the field. This points to a future where many O&M tasks will be centrally coordinated: robots do the physical work, and humans make decisions supported by data and augmented reality, without having to be physically present at the plant.
Overall, robotics in O&M ensures that solar plants maintain optimal performance with less cost and risk . Electricity production increases thanks to cleaner panels and faster fault repairs; operating costs decrease by automating routine tasks (companies like EDP expect up to 80% savings in cleaning and weed control); and workplace safety improves by removing technicians from hazardous situations (extreme heat, heights, high voltage) and delegating these tasks to machines. Furthermore, the data collected by these systems enriches our understanding of plant performance, enabling continuous improvement in maintenance. It is no exaggeration to say that robotics is shifting solar O&M from a traditional reactive approach to a predictive, intelligent, and connected one , in line with the vision of the Energy 4.0 technological revolution .
Technical and Economic Benefits of Solar Robotics
The integration of robotics into the development of photovoltaic solar projects is not just a futuristic promise: it is already a reality transforming the industry. From the construction phase to operational maintenance, robots are demonstrating tangible advantages in speed, cost, safety, and efficiency.
Below is a summary of the main benefits observed to date, supported by data and concrete industry experiences:
- Accelerated timelines and increased productivity: Automation allows for much faster construction of solar plants . Construction robots can work 24/7 without rest, installing panels up to three times faster than human teams. Globally, studies indicate that a combination of advanced robotics in surveying, construction, and assembly could shorten the delivery time of a solar project by approximately 40%. In maintenance, drones inspect in hours what previously took days. This time saving translates into earlier commissioning (and therefore revenue from energy sales ahead of schedule), as well as the ability to undertake more projects simultaneously.
- Reduced operating and labor costs: While the initial investment in robots can be significant, it typically leads to lower costs in the medium term . Automating repetitive tasks reduces the need for large construction crews, mitigating the shortage and cost of skilled labor. According to some estimates, robotics can cut labor costs in solar farm construction by 20-30%. Similarly, in O&M, robots reduce the cost of routine activities: for example, cleaning panels with robots instead of using tanker trucks and personnel can save tens of thousands of dollars annually at a 100 MW plant. EDP (Spain) projects an 80% reduction in cleaning/weeding costs thanks to selective robotics. Furthermore, by optimizing plant performance (cleaner panels, fewer undetected failures), annual energy production increases , improving the project’s return on investment.
- Improved workplace safety and health: Many processes in solar parks involve risks: lifting heavy objects, working in extreme sunlight, climbing high structures, handling electricity, etc. Robotics allows workers to be removed from these dangerous situations . A robot does not suffer from heatstroke or fatigue, can handle 30-40 kg modules without risk of back injuries, and can inspect high structures or energized cables where sending a person would be risky. Additionally, technologies such as drones and telepresence reduce the need for personnel to travel to remote sites, which also became relevant during the pandemic. In short, robotics saves lives and reduces health risks by taking over dangerous or physically demanding tasks, allowing human workers to focus on supervision and control in safer conditions.
- Increased energy efficiency and asset performance: Robots help each solar panel generate the maximum possible energy. Frequent and methodical cleaning eliminates previously tolerated losses due to soiling, which in dusty climates can represent a significant efficiency boost . For example, avoiding a 5-8% annual loss due to soiling in a 100 MW plant translates into several extra GWh produced and millions of dollars in revenue over the project’s lifetime. Similarly, continuous drone inspection detects emerging problems (hotspots, damaged modules) and allows for repairs before they escalate, preventing prolonged performance drops. Some operators report 2-3% improvements in annual generation after implementing AI-powered predictive maintenance by minimizing the time faulty assets remain unattended. Even during construction, robotic precision ensures optimal installation (e.g., exact angles, minimal shading between rows), maximizing solar energy capture from day one. In global terms, robotics contributes to more efficient solar plants with higher capacity factors than would be possible with conventional low-frequency maintenance methods.
- Consistent quality and error reduction: Unlike humans, machines can repeat a task exactly thousands of times without losing accuracy. This consistency leads to higher quality standards in construction and O&M. For example, an installation robot places each screw with the same torque and each panel with the same alignment, preventing human errors that could later cause problems (poorly connected modules, loose structures, etc.). Rosendin reported that its robot positions panels with an accuracy of 2 mm, something difficult to achieve consistently by hand. In cleaning, centralized scheduling ensures that no panel is overlooked and that all receive the necessary attention. Error reduction also means less rework (having to correct poorly executed installations) and a lower risk of premature failures due to poor execution. On the economic front, this decreases warranty and corrective maintenance costs. Furthermore, the robots’ ability to document their work (many record data: which panel they cleaned, what torque they applied, etc.) creates a valuable history for quality audits and continuous improvement.
- Scalability and viability of mega-projects: As solar farms grow in size (today there are already plants ranging from 500 MW to 1 GW in a single location), traditional methodologies are reaching their limits. Mobilizing and coordinating thousands of workers in remote areas is logistically complex. Robotics offers a way to scale without linearly increasing the workforce . A small team of operators can manage a fleet of robots that build or maintain a gigantic plant. This makes previously unthinkable projects viable. Furthermore, given the global need to accelerate installed solar capacity, robotics is emerging as the only way to meet ambitious goals when the available workforce is not growing at the same rate.
Without drastic changes like automation, it will be impossible to deploy solar energy at the speed needed to curb climate change. In this sense, robotics provides the extra productivity that bridges the gap between goals and reality.
- Data, traceability, and knowledge for continuous optimization: Every robot and drone in operation also acts as an advanced sensor , collecting valuable data. Drone cameras generate thermograms, cleaning robots measure dirt levels by area, installers record the actual topography of the terrain as they move, and so on. All this information, integrated into analytics platforms, allows developers and engineers to better understand their plant and its environment. For example, they can identify which areas get dirty faster (perhaps due to local air currents) and reforest downwind to mitigate dust, or adjust the angle of trackers at certain times for self-cleaning. Big data analytics supported by AI can uncover patterns to optimize operations (e.g., scheduling cleaning robots just before very sunny days to maximize energy efficiency).
Robotics not only performs physical tasks, but also generates continuous feedback that drives evidence-based improvements, increasing the operational intelligence of solar projects.
In short, the benefits of robotics in the solar industry are reflected in projects that are built faster, operated at a lower cost, safer for people, and more efficient in energy generation . This has a positive impact on profitability for investors, reliability for customers who purchase that energy, and overall sustainability by enabling the deployment of more renewable capacity in less time. Although it implies a paradigm shift and overcoming initial inertia (as well as adoption costs), the experience of those who have already incorporated robotics suggests that the advantages far outweigh the challenges.
Emerging Trends in Solar Robotics
Technology is evolving rapidly, and the intersection of robotics, automation, and artificial intelligence promises exciting developments for the photovoltaic sector in the short and medium term. Some emerging trends that we are likely to see take off in the next five to ten years include:
- Comprehensive automation of solar construction: While successful pilot projects already exist, the next stage is the large-scale industrialization of automated construction. Construction companies are investing in fleets of specialized robots for surveying, leveling, pile driving, assembly, cabling, and even field welding. In the next decade, we could see the first utility-scale projects built almost entirely by autonomous machinery, with human supervision reduced to quality control and troubleshooting. The vision of a “Construction 4.0” also includes the use of prefabrication and modular robotics—for example, mobile factories that assemble panel sections in blocks, or robots that not only install panels but also connect their cables to a string before moving on to the next. All of this will accelerate construction throughput. This trend will also be driven by necessity: in markets like North America and Europe, the shortage of skilled construction workers persists, making automation essential to achieving solar expansion goals.
We will surely see more collaboration between machinery giants (Caterpillar, John Deere, Komatsu) and robotics startups, adapting autonomous construction equipment specifically for solar farms.
- Collaborative Robotics and New Assistants for Technicians: The concept of cobots (collaborative robots) will become increasingly prevalent in the sector. Not all processes can—and perhaps shouldn’t—be fully automated. In many tasks, the best solution will be humans working alongside robots that amplify their capabilities. Emerging examples include robotic exoskeletons that help operators lift and transport panels manually with less effort, or robotic arms controlled by operators to manipulate heavy components in confined spaces (where a purely autonomous robot would struggle). Drones can also act as inspection “assistants” while a technician performs repairs (providing additional viewing angles or holding small tools). In maintenance, we could see more use of teleoperated robots : for example, a technician in a virtual control room remotely controls a robot on the shop floor to tighten a connector or replace a fuse, combining human skill with the robot’s remote presence. Collaborative robotics aims to combine the best of both worlds: human flexibility and judgment with mechanical strength, precision, and persistence . This would also facilitate the acceptance of automation, as it would be seen as a complement to human workers, not a replacement. Given that several startups (such as the one from Rosendin/ULC mentioned earlier) are already demonstrating these collaborations in installations, it is expected that this approach will gain traction in more areas of solar projects.
- Permanent Autonomous Drones and Advanced Sensors: On the surveillance and inspection side, a clear trend is toward on-site autonomous drones ( drone-in-a-box ). Systems are already being marketed where a drone resides in a charging station/cabin within the plant and flies routinely (e.g., every day at dawn) to inspect the panels and perimeter, then returns to recharge. With more favorable legislation for autonomous flights and improvements in batteries, these sentinel drones will become part of standard O&M equipment. Equipped with increasingly sophisticated cameras (high-resolution thermal, spectral to detect module degradation, LIDAR for 3D modeling of structures), they will provide comprehensive monitoring without human intervention. Some will even be linked in real time (via private 5G or satellite networks), sending instant alerts upon detecting anomalies. Furthermore, hybrid robots are emerging for challenging environments: for example, tethered drones that can fly indefinitely using ground power for extended inspections, or amphibious robots for floating solar plants that combine aquatic movement with climbing onto floating structures. These advancements will enable constant and ubiquitous monitoring of solar installations, further reducing the need for manual inspections.
- Automated Maintenance and Robotic Repair: Looking further ahead, the next frontier will be robots not only detecting problems but also directly solving them . Prototypes of robots capable of autonomously replacing broken panels already exist: identifying the damaged module, disconnecting it, unscrewing it, and installing a new one (this is still in experimental stages, but conceptually feasible with advanced robotic arms and suction cups). Similarly, research is being conducted on the use of climbing robots that can clean not only panels but also mirrors in solar thermal power plants or perform maintenance on trackers (lubricating gears, tightening loose screws). Nanorobotics could also play a role in the distant future, with very small drones or “insect-like” robots traversing the panel surface, searching for microcracks, and applying conductive sealant to repair them on-site. While these applications sound futuristic, the overall trend is toward increasingly automated O&M where human intervention is the exception rather than the rule. In five years we could already see the first “mechanical” repair robots operating in the field in pilot tests, especially in large plants where scaling up this type of solution would have a greater economic impact.
- Integration with smart energy and other Industry 4.0 technologies: Solar robotics doesn’t exist in a vacuum; it will go hand in hand with other innovations. For example, solar energy plus storage (batteries) will also require robots for battery maintenance, cleaning storage systems, and so on. We could see comprehensive robotic solutions that service both the panels and the adjacent battery containers (perhaps indoor drones to inspect battery racks, or mobile robots that automate the replacement of faulty battery modules). Distributed solar energy could also benefit: imagine cleaning robots for commercial or residential solar rooftops, operated as a service. Or agricultural robots in crops under panels (agrivoltaics) that combine harvesting with module care. The convergence with IoT will connect every panel, inverter, and robot in a large network, enabling global optimizations at the plant, portfolio, and even grid levels ( smart grids ). In short, the trend is toward the complete automation and digitalization of the renewable energy industry, where solar photovoltaics will play a leading role and serve as a testing ground for many Industry 4.0 technologies: big data, digital twins, augmented reality, edge computing, and, of course, robots of all kinds. The next five years will be crucial for moving from isolated “solar robotics” projects to widely adopted industry standards, changing the way we conceive of solar energy development.
Implications for Solar Projects in Latin America
Latin America is experiencing a remarkable boom in solar power plant construction, driven by its abundant solar resources and the need to diversify its energy mix. In this context, the adoption of robotic technologies represents a strategic opportunity to increase efficiency, reduce costs, and improve project viability, although it also presents certain challenges specific to the region.
The region boasts some of the world’s best solar resources: the Atacama Desert in Chile, the high plateaus of Mexico, and the semi-arid zones of Brazil and Argentina are just a few examples. However, many of these locations are remote and present extreme environmental conditions. Robotics can be a key factor in harnessing this renewable potential.
- In desert regions like northern Chile and Peru, cleaning solar panels is challenging due to abundant dust and water scarcity. Dry cleaning robots (such as the Chilean prototype from UTFSM mentioned earlier or solutions from companies like Ecoppia) offer an ideal solution for keeping solar panels clean without consuming water. This increases the viability of projects in locations where transporting water for constant cleaning would be logistically very complex, while also maximizing efficiency in environments with high solar irradiance and high dust levels.
- Many Latin American countries face relatively low labor costs , which might initially seem to discourage automation. However, the availability of skilled labor in remote areas is limited. For example, large projects in the Puna region of Argentina or the Brazilian Sertão require mobilizing workers from distant cities, increasing real costs and presenting health and safety challenges. Robotics would allow for a reduction in this dependence, maintaining a small local workforce and operating robots to perform the heavy lifting. Furthermore, some areas experience a shortage of skilled solar construction personnel at the required scale, a problem that automation can alleviate (similar to what has been seen in the US, but on a local scale).
- The adoption of robotics could generate new training and technology employment opportunities in the region. Instead of hiring 100 unskilled construction workers, perhaps only 10 mechatronics technicians are needed to supervise robots. This demands training programs in Industry 4.0 skills (programming, robot maintenance, drone data analysis) in our countries. Universities and local startups are already venturing into this area, which is positive for shifting the value chain toward more specialized jobs. One example is Colombia, where ventures like Sunny App have developed cleaning robots with government support, demonstrating that local innovation is possible. In Chile, the collaboration between universities and companies (Atamostec) to patent solar robots suggests that the region can not only import but also create robotic technologies adapted to its needs.
- In terms of investment, project developers should consider the additional CAPEX of implementing robotics versus the OPEX saved in their business plans . While manual labor costs in countries of the region may be lower than in Europe or the US, factors such as difficult terrain, harsh climates, or pressure to execute quickly (e.g., tenders with tight deadlines) can tip the scales in favor of automation. Each market will have its own distinct tipping point. For example, Mexico, with its vast flatlands and available workforce, may adopt robots gradually, while Chile, with its hyper-arid desert, is already incorporating robotic cleaning from the outset. It is important for developers and investors to stay informed about these options, as they can improve the profitability and mitigate risks of their projects in the long term.
- Finally, governments and regulatory bodies can also play an enabling role. Policies that encourage the adoption of renewable energy technologies—such as subsidies, tax incentives, or lines of credit for innovation—can accelerate the use of robotics. Likewise, updating regulatory frameworks to allow the use of drones in automated inspection tasks is key. Adopting robotics not only helps lower costs but can also contribute to environmental goals: reduced water consumption in water-stressed areas, fewer workplace accidents, and greater resource efficiency. All of this aligns with the Sustainable Development Goals that many countries in the region have committed to achieving.
Conclusions
The integration of robotics into photovoltaic solar energy is changing how we conceive, build, and operate solar farms. What once required large crews and months of arduous manual labor can now be achieved with the precision of autonomous machines in a fraction of the time. We have seen how, at every stage of the lifecycle—from initial site surveying to the final panel cleaning in operation—proven robotic solutions already exist that improve efficiency, reduce costs, and increase safety. Pioneering companies are paving the way with real-world examples: installation robots erecting structures in the middle of the desert, vigilant drones relentlessly monitoring megaprojects, small intelligent rovers ensuring panels are always clean and free of weeds, and innovative prototypes developed in Latin America demonstrating that the region can also create its own solar robotics.
The message is clear: robotics is not an end in itself, but a means to accelerate, make solar deployment safer, and more cost-effective . In a global context that demands we decarbonize our energy mix against the clock, tools like AI, automation, and collaborative robotics will be indispensable allies. Solar projects that integrate these technologies will have a competitive advantage, whether due to their lower levelized cost of energy (LCOE), their industrial safety standards, or their operational resilience.
Of course, there are challenges ahead. Widespread adoption of robotics requires changing mindsets, training personnel, and ensuring that new systems are reliable and easy to integrate. But the advances of recent years demonstrate that the learning curve is being overcome rapidly. Each robot deployed provides lessons that refine subsequent designs, in a virtuous cycle of innovation.
In the coming years, it will be no surprise to see a proliferation of solar robots on construction sites and in operation. This quiet revolution will bring solar farms built in record time in remote locations, pristine panels gleaming in the sun without a speck of dust, and control centers where engineers monitor fleets of machines via digital displays.
Robotics will not displace the importance of the human factor – on the contrary, it will allow professionals to focus on strategies, creative design and optimization, delegating monotonous or risky tasks to machines.
The invitation is extended to all stakeholders in the sector: learn, experiment, and collaborate in this transformation. Innovation in solar energy involves not only more efficient photovoltaic cells, but also how we implement and operate them with the help of robots and algorithms. The future of solar is bright, and it will come with robotic arms lifting panels, drones buzzing between rows, and algorithms monitoring every watt generated under the sun.
References
How robotics is reshaping solar module installation https://pv-magazine-usa.com/2025/04/17/how-robotics-is-reshaping-solar-module-installation/
Making solar projects cheaper and faster with portable factories https://news.mit.edu/2025/charge-robotics-makes-solar-projects-cheaper-faster-portable-factories-0312
Role of Robotics in Accelerating Solar Farm Development https://www.civrobotics.com/updates/role-of-robotics-in-accelerating-solar-farm-development