  The booming of electric vehicles demands efficient battery disassembly for
recycling to be environment-friendly. Due to the unstructured environment and
high uncertainties, battery disassembly is still primarily done by humans,
probably assisted by robots. It is highly desirable to design autonomous
solutions to improve work efficiency and lower human risks in high voltage and
toxic environments. This paper proposes a novel framework of the NeuroSymbolic
task and motion planning method to disassemble batteries in an unstructured
environment using robots automatically. It enables robots to independently
locate and disassemble battery bolts, with or without obstacles. This study not
only provides a solution for intelligently disassembling electric vehicle
batteries but also verifies its feasibility through a set of test results with
the robot accomplishing the disassembly tasks in a complex and dynamic
environment.
