Joel K. Thompson
Papers
2
Total Citations
12
H-Index
2
About
Joel K. Thompson is a robotics researcher whose work focuses on enabling service robots to interact intelligently with unfamiliar objects in human environments. His primary research areas include cognitive grasping, tactile sensing, and cyber-physical systems for robotic manipulation. Thompson’s major contributions center on developing methods for robots to identify unknown object properties—such as weight, texture, and compliance—through tactile motion sequences, using only a two-finger gripper. His 2021 paper on this topic has garnered 6 citations, establishing a foundation for adaptive grip-force control. In his 2022 work, also cited 6 times, Thompson introduced a cyber-physical system approach that allows robots to dynamically adjust grip force when handling unseen objects, bridging the gap between perception and action. This research is critical for advancing autonomous service robots that must operate safely and effectively in unpredictable settings. By focusing on real-time property identification and control, Thompson’s work addresses a key challenge in robotics: enabling machines to grasp and manipulate objects without prior knowledge, paving the way for more capable and responsive robotic assistants in homes and workplaces.
Research Focus
Key Achievements
Top Papers
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