Xianchao Long
Papers
13
Total Citations
294
H-Index
7
About
Xianchao Long is a leading researcher in humanoid robotics, specializing in human-supervised control, motion planning, and disaster-response autonomy. As a key member of the Team WPI-CMU during the DARPA Robotics Challenge (DRC), Long made foundational contributions to enabling the 28-degree-of-freedom Atlas humanoid robot to perform complex, real-world tasks. His work on the DRC Trials (78 citations) and Finals (57 citations) demonstrated how human-in-the-loop systems could integrate mobility, manipulation, and perception for reliable disaster response, including the notoriously difficult challenge of door traversal (51 citations). Long advanced motion planning with BiRRTOpt (15 citations), a combined sampling and optimization algorithm that overcomes infeasibility issues in bipedal robots, and developed a foot-repositionable inverse kinematics engine for task-oriented planning (9 citations). His research also extends to in-situ terrain classification for NASA’s Valkyrie robot (13 citations) and risk-aware decision-making for compositional autonomy (4 citations). With over 280 total citations, Long’s work bridges the gap between theoretical motion planning and practical, robust humanoid behavior in unstructured environments, establishing him as a pivotal figure in the push toward reliable humanoid robots for emergency response.
Research Focus
Key Achievements
Top Papers
- 1
- 2What Happened at the DARPA Robotics Challenge Finals57 citations · 2018
- 3Human-supervised control of the ATLAS humanoid robot for traversing doors51 citations · 2015
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- 8Template-based human supervised robot task programming6 citations · 2016
- 9Anytime multi-task motion planning for humanoid robots6 citations · 2017
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