AI-driven solar deployment by AES enhances 3 GW project rollout

Autonomous solar robots with advanced SLAM technology developed by Muqing Li have been deployed by AES Corporation, supporting 3 GW of PV-plus-storage projects globally.

By Karthik Srivasthav G 05 Jul 2025 in Market Bytes

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AES deployed the technology at Bellefield, a 2 GW solar-plus-storage project supplying power to 467,000 homes. Image Credit/Source: AES Corporation

AES Corporation, a US-based energy company, has deployed advanced solar robotics at its largest solar-plus-storage project in California. Muqing Li, Lead Performance Engineer at AES Corporation, has developed an autonomous deployment system based on SLAM (Simultaneous Localization and Mapping) technology. The system integrates stereo cameras, depth sensors, lidar, and inertial motion data using an Extended Kalman Filter to enable precise operations in unmapped environments. According to AES Corporation, this technology allows autonomous solar installation with 0.25 cm accuracy and has been implemented at the 2 GW Bellefield project. Muqing Li’s EDNET deep learning model is used to improve installation accuracy across OEM solar panels. His SLAM code, released under the MIT license, is widely adopted and recognised as a benchmark for robotic localization in solar energy projects.

#SolarRobotics #AESCorporation #MuqingLi #SLAM System

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