Papers
10
Total Citations
341
H-Index
7
About
Larry Jackel is a prominent robotics researcher whose work spans autonomous systems, disaster response robotics, and human-robot interaction sensing. Best known for his central role in the **DARPA Robotics Challenge (DRC)**, his definitive account of the DRC Finals (2016, 146 citations) stands as the authoritative record of one of robotics' most ambitious competitions, documenting how teams developed humanoid robots capable of performing complex disaster-response tasks. His earlier contributions to the **DARPA PerceptOR** program (47 citations) further cemented his reputation in autonomous ground vehicle evaluation. In recent years, Jackel has pivoted toward solving some of robotics' most persistent safety challenges, pioneering innovative sensing technologies for human-robot collaboration. His work on full-surface tactile skin (31 citations), acoustic collision detection (22 citations), and proximity detection systems like AuraSense (20 citations) and AmbiSense reflects a sustained commitment to making robots safer and more responsive in dynamic human environments. Projects like SonicFinger demonstrate his interest in novel acoustic modalities for dexterous manipulation. With over 340 cumulative citations, Jackel's career exemplifies the bridge between large-scale government-funded robotics programs and cutting-edge applied sensing research.
Research Focus
Key Achievements
Top Papers
- 1The DARPA Robotics Challenge Finals: Results and Perspectives146 citations · 2016
- 2The DARPA PerceptOR evaluation experiments47 citations · 2006
- 3The DARPA Robotics Challenge Finals: Results and Perspectives44 citations · 2018
- 4Enabling Low-Cost Full Surface Tactile Skin for Human Robot Interaction31 citations · 2022
- 5Acoustic Collision Detection and Localization for Robot Manipulators22 citations · 2020
- 6AuraSense: Robot Collision Avoidance by Full Surface Proximity Detection20 citations · 2021
- 7An Advanced Teleoperation Testbed13 citations · 2008
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