Boling Yang

Roboticist / Graduate Researcher

I am on the job market for industrial research and development positions!

Sensor Systems Lab + Robot Learning Lab 

Contact: bolingy@cs.uw.edu

CV | Google Scholar | YouTube

I am a CSE Ph.D. candidate co-advised by Prof. Joshua Smith and Prof. Byron Boots at the University of Washington. I enjoy researching how real robots can achieve challenging control and decision-making tasks, such as solving Rubik's cube, playing competitive games with humans, and manipulating millimeter-scale objects. Since robotics is an interdisciplinary science, I believe we can find better solutions for robotic problems if we think about them from diverse perspectives. Therefore, my past research has covered a wide range of topics, including reinforcement learning, multi-agent systems, robot sensing, novel manipulator, etc. I am also a part-time researcher at Microsoft Research.

Global Media Coverage:

Selected Research Projects

Multi-agent Reinforcement Learning

Robots innovate useful skills by playing games.

Stackelberg Games for Learning Emergent Behaviors During Competitive Autocurricula

Boling Yang, Liyuan Zheng, Lillian J. Ratliff, Byron Boots, Joshua R. Smith

The IEEE International Conference on Robotics and Automation (ICRA) 2023

Stackelberg MADDPG: Learning Emergent Behaviors via Information Asymmetry in Competitive Games

Boling Yang*, Liyuan Zheng*, Lillian J. Ratliff, Byron Boots, Joshua R. Smith

AAAI Conference on Artificial Intelligence 2022 - Workshop on Reinforcement Learning in Games

Do we need a robot competitor?

Motivating Physical Activity via Competitive Human-Robot Interaction

Boling Yang, Golnaz Habibi, Patrick E. Lancaster, Byron Boots, Joshua R. Smith

The Conference on Robot Learning  (CoRL) 2021 [Selected for Oral Presentation (Top 6.5%)]

Competitive Physical Human-Robot Game Play

Boling Yang, Xiangyu Xie, Golnaz Habibi, Joshua R. Smith

ACM/IEEE International Conference on Human-Robot Interaction 2021 LBR  [Covered by IEEE Spectrum and b<>com News]

Robot Manipulation

A robot that organizes our Amazon packages. 

This is the flagship research program of the UW x Amazon Science Hub with joint research efforts from multiple robotics groups at UW CSE. We have multiple ongoing research projects, stay tuned for the latest update!

(We presented our system to Senator Murray on Aug/9/2023!)

DYNAMO-GRASP: DYNAMics-aware Optimization for GRASP Point Detection in Suction Grippers

Boling Yang*,  Soofiyan Layakalli Atar*, Markus Grotz, Byron Boots, Joshua Smith

The Conference on Robot Learning  (CoRL) 2023

Towards Robustly Picking Unseen Objects from Densely Packed Shelves

Markus Grotz, Soofiyan Atar, Yi Li, Paolo Torrado, Boling Yang, Nick Walker, Michael Murray, Maya Cakmak and Joshua R. Smith

Preprint


Hierarchical Control Strategy for Moving A Robot Manipulator Between Small Containers

Paolo Torrado, Boling Yang, Joshua R. Smith

The IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2022, Workshop on the role of uncertainty and how it is tackled in robotic grasping and manipulation.

A Rubik's cube competition for robots.

Benchmarking Robot Manipulation with the Rubik's Cube

Boling Yang, Patrick E. Lancaster, Siddhartha S. Srinivasa, Joshua R. Smith

IEEE Robotics and Automation Letters (RA-L) 2020 [Covered by Tech Xplore, COSMOS Magazine, and Penang STEM 4.0]

Novel Manipulator

Allowing any general purpose robots to pick up a mosquito without crashing it.

Contact-less Manipulation of Millimeter-scale Objects via Ultrasonic Levitation

Jarred Nakahara, Boling Yang, Joshua R. Smith

IEEE International Conference on Biomedical Robotics and Biomechatronics  2020 (BioRob) [Patented Technology: US Patent, PCT International Patent]

Novel Sensing

Deep learning for better pre-touch sensing.

Improved Object Pose Estimation via Deep Pre-touch Sensing

Patrick E. Lancaster, Boling Yang, Joshua R. Smith

The IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2017

A new sensor that keeps manipulation error within a few millimeters.

Pre-touch Sensing for Sequential Manipulation

Boling Yang, Patrick E. Lancaster,  Joshua R. Smith

The IEEE International Conference on Robotics and Automation (ICRA) 2017 [Covered by BBC Radio 4 - Today Morning Boardcast]