I am an Assistant Professor of Computer Science at Rice University, where I direct the Robotics and Physical Interactions Lab (RobotΠ Lab). I am broadly interested in robotic systems that can physically interact with other robots, people, and the world. By developing algorithms in optimization, planning, learning, estimation, and control, my research is focused on efficient, robust, and generalizable manipulation systems, addressing problems that range from small scale grasping and in-hand manipulation, to large scale dual-arm manipulation, mobile manipulation, and multi-robot manipulation.
Before joining Rice CS, I finished my postdoc at Yale University, completed my Ph.D./M.Sc. at KTH Royal Institute of Technology, and received my B.Eng. from Xi'an Jiaotong University.
Kaiyu Hang has won a National Science Foundation CAREER Award to develop robots that can physically interact with the world through compliance- and motion-based manipulation funnels.
Our paper "Non-Parametric Self-Identification and Model Predictive Control of Dexterous In-Hand Manipulation" has been accepted by IEEE/RSJ IEEE International Conference on Intelligent Robots and Systems (IEEE/RSJ IROS). Check out the video!
Our paper "Self-Supervised Unseen Object Instance Segmentation via Long-Term Robot Interaction" has been accepted by Robotics: Science and Systems (RSS 2023). Check out the video!
Our paper "Kinodynamic Rapidly-exploring Random Forest for Rearrangement-Based Nonprehensile Manipulation" has been accepted by IEEE-RAS International Conference on Robotics and Automation (IEEE-RAS ICRA). Check out the video!
In IEEE-RAS ICRA 2023, we will organize the second workshop on "Compliant Robot Manipulation: Challenges and New Opportunities". Distinguished speakers from both academia and industry will join to share their brilliant research progress and throughts. Poster contributions with oral presentation opportunities will be an important part of the workshop. Please read more details here .
Selected Media CoverageRice News: Rice U.'s Kaiyu Hang wins NSF CAREER Award
TechXplore: Using a virtual linkage representation algorithm to improve functionality of a robot hand
Yale SEAS News: A robotic hand that updates itself
MIT Technology Review: Drones that perch like birds could go on much longer flights
Nature Electronics: Drones get a grip
National Public Radio: If Drones Had 'Claws,' They Might Be Able To Fly For Longer
Yahoo! News: With These New Feet-Like Landing Gear, Drones Could Grab on and Perch Like Birds or Bats
Smithsonian: These Drones Can Perch and Dangle Like Birds and Bats
Popular Mechanics: Clever New Landing Gear Allow Drones To Set Down Like Birds or Bats
Inverse: Video Shows a Drone With Talons That Hangs Upside Down Like a Bat
Selected AwardsNSF CAREER Award, 2023
Best Oral Paper Award, Finalist, IEEE-RAS Humanoids, 2019
Mike Stillman Award, Finalist, IEEE-RAS Humanoids, 2019
Best Paper Award in Robotic Manipulation, Finalist, IEEE-RAS ICRA, 2019
Best Robotic Manipulation Paper Award, Finalist, IEEE-RAS ICRA, 2017
Junior Fellowship Award, Institute for Advanced Study, HKUST, 2017-2018
Ranked 13 in Final Match, Amazon Picking Challenge 2015
Best Student Paper Award, Finalist, IEEE-RAS ICRA, 2014
Ranked 23 globally and ranked 8 in EU, IEEEXtreme 7.0 Programming Contest
Best Cognitive Robotics Paper Award, Finalist, IEEE/RSJ IROS, 2012
Rice Robotics Club (Faculty Advisor)
Graduate Admission Committee of CS (PhD, MCS)
BPC Working Group (2021 - 2022)
IEEE Robotics and Automation Letters (RA-L) (2019 - present)
IEEE-RAS International Conference on Robotics and Automation (ICRA) (2021 - present)
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2020 - present)
IEEE-RAS International Conference on Humanoid Robots (Humanoids) (2019)
Robotics: Science and Systems (2017, 2018)
Conference on Robot Learning (CoRL) (2018)
RSS Pioneers (2018, 2019)
IEEE/RSJ IROS, Session Co-Chair (Manipulation and Grasping) (2020)
Judge for the Congressional App Challenge (2021 - present)