Jason Collins
Papers
2
Total Citations
14
H-Index
2
About
Jason Collins is a robotics researcher whose work focuses on autonomous error recovery and self-righting in mobile robots—a critical capability for machines operating in unpredictable, real-world environments. His key research areas include robotic locomotion, proprioceptive sensing, and the geometric analysis of robot morphologies. Collins’s major contribution is the development of a generalizable framework for enabling robots to autonomously recover from tip-over events, moving beyond the point solutions that previously dominated the field. His most cited paper, “A metric for self-rightability and understanding its relationship to simple morphologies” (2014, 9 citations), introduces a formal metric to quantify a robot’s inherent ability to self-right, linking physical design to recovery performance. In related work, “Proprioceptive sensing for autonomous self-righting on unknown sloped planar surfaces” (2013, 5 citations), he demonstrates how robots can use onboard sensors alone to right themselves on sloped terrain without external aids. These contributions are foundational for creating more resilient field robots, with implications for search-and-rescue, planetary exploration, and military operations. Collins’s research stands out for its systematic approach to a previously ad hoc problem, offering both theoretical insight and practical validation.
Research Focus
Key Achievements
Top Papers
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