Papers
6
Total Citations
275
H-Index
5
About
David Gossow is a leading researcher in human-in-the-loop robotic systems and autonomous mobile manipulation, with a focus on assistive and rescue robotics. His most influential work, "Strategies for human-in-the-loop robotic grasping" (168 citations), pioneered methods for combining human cognitive skills with autonomous robotic behaviors to handle complex tasks in unstructured environments. Gossow also developed a mobile manipulation platform for motor-impaired users (69 citations), demonstrating real-world assistive technology that integrates navigation, perception, and manipulation via simple head-tracker input. His contributions extend to autonomous rescue robotics, including the fully autonomous "Robbie" robot for RoboCupRescue, which employs active sensing for unknown environments. Gossow’s work on danger sign detection using color histograms and SURF matching (16 citations) and hierarchical multi-robot coordination (9 citations) further showcases his impact on perception and multi-agent systems. With a total of over 275 citations across his most-cited papers, Gossow’s research has advanced practical, human-centered robotics for assistive and emergency applications, bridging autonomy and operator control.
Research Focus
Key Achievements
Top Papers
- 1Strategies for human-in-the-loop robotic grasping168 citations · 2012
- 2Mobile manipulation through an assistive home robot69 citations · 2012
- 3Danger Sign Detection Using Color Histograms and SURF Matching16 citations · 2008
- 4Robbie: A Fully Autonomous Robot for RoboCupRescue9 citations · 2009
- 5Hierarchical Multi-robot Coordination9 citations · 2011
- 6