2 citations · 3 across the 6 of their papers we have counts for
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Embodied Intelligence in Disassembly: Multimodal Perception Cross-validation and Continual Learning in Neuro-Symbolic TAMP
Ziwen He, Zhigang Wang, Yanlong Peng +3
With the rapid development of the new energy vehicle industry, the efficient disassembly and recycling of power batteries have become a critical challenge for the circular economy.…
Decoding RobKiNet: Insights into Efficient Training of Robotic Kinematics Informed Neural Network
Yanlong Peng, Zhigang Wang, Ziwen He +4
In robots task and motion planning (TAMP), it is crucial to sample within the robot's configuration space to meet task-level global constraints and enhance the efficiency of subseq…
Revolutionizing Battery Disassembly: The Design and Implementation of a Battery Disassembly Autonomous Mobile Manipulator Robot(BEAM-1)
Yanlong Peng, Zhigang Wang, Yisheng Zhang +4
The efficient disassembly of end-of-life electric vehicle batteries(EOL-EVBs) is crucial for green manufacturing and sustainable development. The current pre-programmed disassembly…
RobKiNet: Robotic Kinematics Informed Neural Network for Optimal Robot Configuration Prediction
Yanlong Peng, Zhigang Wang, Yisheng Zhang +5
Task and Motion Planning (TAMP) is essential for robots to interact with the world and accomplish complex tasks. The TAMP problem involves a critical gap: exploring the robot's con…
Learning Symbolic Operators: A Neurosymbolic Solution for Autonomous Disassembly of Electric Vehicle Battery
Yidong Du, Wenshuo Wang, Zhigang Wang +4
The booming of electric vehicles demands efficient battery disassembly for recycling to be environment-friendly. Currently, battery disassembly is still primarily done by humans, p…
Autonomous Electric Vehicle Battery Disassembly Based on NeuroSymbolic Computing
Hengwei Zhang, Hua Yang, Haitao Wang +3
The booming of electric vehicles demands efficient battery disassembly for recycling to be environment-friendly. Due to the unstructured environment and high uncertainties, battery…