Chao Cao
Robotics researcher specializing in autonomous navigation
Summary
Work
Education
Projects
Writing
Representation Granularity Enables Time-Efficient Autonomous Exploration in Large, Complex Worlds
January 1, 2023Science Robotics paper presenting methods for autonomous exploration emphasizing representation granularity to achieve time-efficient exploration in large, complex environments.
Exploring the Most Sectors at the DARPA Subterranean Challenge Finals
January 1, 2023Field Robotics paper describing multi-robot exploration results from the DARPA Subterranean Challenge finals where CMU's approach explored the most sectors.
TARE: A Hierarchical Framework for Efficiently Exploring Complex 3D Environments
January 1, 2021RSS 2021 paper introducing the TARE hierarchical exploration framework (won Best Paper Award and Best Systems Paper Award at RSS 2021).
Hierarchical Coverage Path Planning in Complex 3D Environments
January 1, 2020ICRA 2020 paper on coverage path planning addressing exploration in complex 3D settings.
Dynamic Channel: A Planning Framework for Crowd Navigation
January 1, 2019ICRA 2019 paper describing Dynamic Channels, a planning pipeline combining high-level topological path planning with low-level motion planning to handle dynamic crowds.