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E-waste is growing rapidly while recycling rates remain low. We propose an electronic-device Graph-based Adaptive Planning (eGRAP) that integrates vision, dynamic planning, and dual-arm execution for autonomous disassembly. This research investigates dual-arm robotic manipulation for the disassembly of electronic devices, with a focus on achieving sustainable and efficient material recovery.
ADIP RANJAN DAS is a PhD candidate in Robotic Manipulation at the Institute of Signals, Sensors, and Systems (ISSS) within the School of Engineering and Physical Sciences (EPS), Heriot-Watt University, Edinburgh, UK. He is supervised by Dr. Maria Koskinopoulou and is a member of the ARM2Lab – Autonomous Robotic Manipulation& Multi-Agent Systems Laboratory, as well as the National Robotarium. He holds a Master’s degree in Robotics from the University of Bristol, UK, and a Bachelor’s degree in Electronics and Computer Science from KIIT University, India. His research focuses on Robotic Manipulation, Robot Vision, and Machine Learning.