Chao Cao

I am a third-year Ph.D. student at The Robotics Institute, Carnegie Mellon University advised by Ji Zhang and Howie Choset.

I serve as the planning team 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.

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Robots that I have worked with

R1, R2 and R3

from Team Explorer
DARPA Subterranean Challenge (SubT), 2020

Developed exploration algorithms for competing in the DARPA Subterranean Challenge.

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P.A.T.H. Bot

from Honda
Summer Internship at Honda Research Institute USA, 2018

Developed a topological planning algorithm for crowd navigation.

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from ClearPath
CMU 16-833 Robot Localization & Mapping course project, 2018

Re-implementated LiDAR Odometry and Mapping (LOAM).

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from Open Source Robotics Foundation
Final Year Project at University of Hong Kong, 2017

Developed a pedestrian avoidance algorithm using deep learning.

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Matrice 100

from DJI
DJI Developer Challenge, 2017

Developed a vision-servoing algorithm for a quadcopter to automatically track and land on a moving vehicle.

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from me
Just for fun, 2017

Built a robot that can balance on a ball. Inspired by Dr. Masaaki Kumagai’s BallIP

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(Matlab Simulation) from Weiwei Wan
Summer Internship at National Institute of Advanced Industrial Science and Technology (AIST), Japan, 2015

Developed a framework for robotic manipulators to perform object re-orientation tasks using external dexterity.

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from Universal Robots
Amazon Picking Challenge, 2015

Developed motion planning softwares for the pick-and-place task.

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(mostly with the MultiSense Head) from Boston Dynamics
DARPA Robotics Challenge (DRC), 2015

Developed a point-cloud based pose estimation algorithm for tabletop object manipulation.

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