Hybrid TAMP framework with GMM-informed RRT, MoveIt/FCL predictive checking, and reactive vision avoidance reduces path length 63% and swept volumes in real dual-robot EV battery disassembly.
An ontology- based approach towards coupling task and path planning for the sim- ulation of manipulation tasks
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Hybrid Task and Motion Planning with Reactive Collision Handling for Multi-Robot Disassembly of Complex Products: Application to EV Batteries
Hybrid TAMP framework with GMM-informed RRT, MoveIt/FCL predictive checking, and reactive vision avoidance reduces path length 63% and swept volumes in real dual-robot EV battery disassembly.