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What is Project LAMBDA?

Automated Electric Vehicle (EV) battery disassembly poses significant challenges due to the complex and variable nature of the task, which cannot be fully addressed by traditional robotics programming. Reinforcement Learning (RL) offers a promising alternative by enabling robots to adapt and optimize their performance in real-world settings through policy learning in simulation.

Together withpartners Circu Li-ion and Swiss Battery Technology Center by Switzerland Innovation Park Biel/Bienne Ltd., leverage #AI and #robotics to accelerate the automation of EV battery disassembly to reduce the costs of recycling and create a viable circular economy for E-mobility. Starting with digital replicas of batteries in physically realistic simulation environments, the simulated robots will learn robust control policies using Reinforcement Learning in NVIDIA Isaac Lab that will then be transferred to a physical production site.

Stay tuned for the next updates!