David Kretsch
Papers
1
Total Citations
8
H-Index
1
About
David Kretsch is a robotics researcher focused on advancing human-robot interaction, particularly in the domain of physical handovers. His key research areas include grasp detection, capacitive sensing, and safe, intuitive robot-to-human object transfer. Kretsch’s major contribution lies in addressing the persistent challenge of fluent handovers—where robots must reliably detect human grasp before releasing an object to avoid drops. His most cited work, “Grasp Detection for Robot to Human Handovers Using Capacitive Sensors” (2021, 8 citations), introduces a novel sensing approach that enables robots to perceive human contact in real time, significantly improving coordination and safety during object exchange. This work highlights a critical gap in robotics: despite advanced motor skills, robots still struggle with the subtle, timing-dependent cues that humans handle effortlessly. By integrating capacitive sensors into the handover process, Kretsch’s research paves the way for more natural, responsive robotic assistants in collaborative settings. His contributions are especially relevant for assistive robotics, manufacturing, and service applications where seamless human-robot teamwork is essential.
Research Focus
Key Achievements
Top Papers
- 1Grasp Detection for Robot to Human Handovers Using Capacitive Sensors8 citations · 2021