163 citations · 188 across the 6 of their papers we have counts for
6 papers
Stackelberg Games for Learning Emergent Behaviors During Competitive Autocurricula
Boling Yang, Liyuan Zheng, Lillian J. Ratliff +2
Autocurricular training is an important sub-area of multi-agent reinforcement learning~(MARL) that allows multiple agents to learn emergent skills in an unsupervised co-evolving sc…
Optical Proximity Sensing for Pose Estimation During In-Hand Manipulation
Patrick Lancaster, Pratik Gyawali, Christoforos Mavrogiannis +2
During in-hand manipulation, robots must be able to continuously estimate the pose of the object in order to generate appropriate control actions. The performance of algorithms for…
Benchmarking Robot Manipulation with the Rubik's Cube
Boling Yang, Patrick E. Lancaster, Siddhartha S. Srinivasa +1
Benchmarks for robot manipulation are crucial to measuring progress in the field, yet there are few benchmarks that demonstrate critical manipulation skills, possess standardized m…
Motivating Physical Activity via Competitive Human-Robot Interaction
Boling Yang, Golnaz Habibi, Patrick E. Lancaster +2
This project aims to motivate research in competitive human-robot interaction by creating a robot competitor that can challenge human users in certain scenarios such as physical ex…
Proximity Perception in Human-Centered Robotics: A Survey on Sensing Systems and Applications
Stefan Escaida Navarro, Stephan Mühlbacher-Karrer, Hosam Alagi +5
Proximity perception is a technology that has the potential to play an essential role in the future of robotics. It can fulfill the promise of safe, robust, and autonomous systems…
Contact-less manipulation of millimeter-scale objects via ultrasonic levitation
Jared Nakahara, Boling Yang, Joshua R. Smith
Although general purpose robotic manipulators are becoming more capable at manipulating various objects, their ability to manipulate millimeter-scale objects are usually very limit…