Papers
9
Total Citations
122
H-Index
6
About
Aquib Rashid is a leading researcher at the intersection of robotics, automation, and sustainable manufacturing, with a primary focus on human-robot collaboration (HRC) and autonomous disassembly systems. His most influential work, "Autonomous disassembly of electric vehicle motors based on robot cognition" (54 citations), pioneers a novel vision-based approach for robotic disassembly, enabling automated screw detection without pre-existing templates—a critical contribution to circular economy and e-waste recycling. Rashid’s research on collision avoidance for heavy-duty industrial robots (22 citations) addresses a key safety challenge in agile production cells, proposing integrated local and global sensing strategies that balance operational efficiency with human safety. He also introduced an innovative human-robot cooperation framework for disassembling unknown EV motor models (12 citations), allowing robots to learn from human supervisors in real-time. His situational zone-based control system (10 citations) advances ISO/TS 15066 compliance by dynamically adjusting collaborative modes based on proximity and risk. With over 120 total citations, Rashid’s work has direct implications for remanufacturing, agile manufacturing, and safe HRC, making him a pivotal figure in developing intelligent, human-aware robotic systems for industrial and environmental applications.
Research Focus
Key Achievements
Top Papers
- 1Autonomous disassembly of electric vehicle motors based on robot cognition54 citations · 2016
- 2Local and Global Sensors for Collision Avoidance22 citations · 2020
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- 5Bin Picking Pneumatic-Mechanical Gripper for Industrial Manipulators7 citations · 2021
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