Chao CaoI am a first-year Ph.D. student at The Robotics Institute, Carnegie Mellon University advised by Ji Zhang and Howie Choset. I serve as the Planning Lead of Team Explorer competing in the DARPA Subterranean Challenge. For a teaser, check out this cool video from Microsoft and the compilation of our Urban Circuit performance ! I have an MS in Robotics from CMU RI, where I was advised by Matt Travers and Howie Choset. I obtained my BS in Computer Science from The Univeristy of Hong Kong, where I worked with Jia Pan and Wenping Wang. I'm interested in robot navigation and motion planning. My recent work has been on exploration and sensor coverage planning. Home / Robots / Google Scholar / CV |
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News
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Efficient Autonomous ExplorationDARPA Subterranean Challenge, 2020 video / A hierarchical framework for autonomous exploration in large-scale environments. |
Hierarchical Coverage Path Planning in Complex 3D EnvironmentsChao Cao, Ji Zhang, Matt Travers and Howie Choset IEEE International Conference on Robotics and Automation (ICRA), 2020 video / A multi-resolution hierarchical framework for sensor coverage planning. It solves a high-level Traveling Salesman Problem (TSP) for a global tour, which is then used for assembling low-level trajectories obtained by solving local Orienteering Problems. The hierarchical scheme produces much higher efficiency than the state-of-the-art. |
Dynamic Channel: A Planning Framework for Crowd NavigationChao Cao, Peter Trautman and Soshi Iba IEEE International Conference on Robotics and Automation (ICRA), 2019 arxiv / video / A hierarchical planning framework for crowd navigation. It incorporates a global planner to find feasible paths in the topological space efficiently, and a local planner to follow the path with optimized trajectories. |
Design and source code from Leonid Keselman's website |