Shangqun Yu

According to our database, Shangqun Yu authored at least 16 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Diffusion Policy for Coordinated Control of a Nonholonomic Mobile Base and Dual Arms in Door Opening and Passing.

Shangqun Yu, Matthew En, Daniel Wu, Sangjun Park, Ziyi Zhou, Seyed Fakoorian, Donghyun Kim

CoRR, May, 2026

2025

Human-Centered Development of Guide Dog Robots: Quiet and Stable Locomotion Control.

Shangqun Yu, Hochul Hwang, Trung M. Dang, Joydeep Biswas, Nicholas A. Giudice, Sunghoon Ivan Lee, Donghyun Kim

CoRR, May, 2025

2024

Impedance Matching: Enabling an RL-Based Running Jump in a Quadruped Robot.

Neil Guan, Shangqun Yu, Shifan Zhu, Donghyun Kim

Proceedings of the 21st International Conference on Ubiquitous Robots, 2024

StaccaToe: A Single-Leg Robot that Mimics the Human Leg and Toe.

Nisal Perera, Shangqun Yu, Daniel Marew, Mack Tang, Ken Suzuki, Aidan McCormack, Shifan Zhu, Yong-Jae Kim, Donghyun Kim

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Learning Generic and Dynamic Locomotion of Humanoids Across Discrete Terrains.

Shangqun Yu, Nisal Perera, Daniel Marew, Donghyun Kim

Proceedings of the 23rd IEEE-RAS International Conference on Humanoid Robots, 2024

A Biomechanics-Inspired Approach to Soccer Kicking for Humanoid Robots.

Daniel Marew, Nisal Perera, Shangqun Yu, Sarah Roelker, Donghyun Kim

Proceedings of the 23rd IEEE-RAS International Conference on Humanoid Robots, 2024

2023

A domain-agnostic approach for characterization of lifelong learning systems.

Megan M. Baker, Alexander New, Mario Aguilar-Simon, Ziad Al-Halah, Sébastien M. R. Arnold, Eseoghene Ben-Iwhiwhu, Andrew P. Brna, Ethan Brooks, Ryan C. Brown, Zachary Daniels, Anurag Reddy Daram, Fabien Delattre, Ryan Dellana, Eric Eaton, Haotian Fu, Kristen Grauman, Jesse Hostetler, Shariq Iqbal, Cassandra Kent, Nicholas Ketz, Soheil Kolouri, George Konidaris, Dhireesha Kudithipudi, Erik G. Learned-Miller, Seungwon Lee, Michael Littman, Sandeep Madireddy, Jorge A. Mendez, Eric Q. Nguyen, Christine D. Piatko, Praveen K. Pilly, Aswin Raghavan, Abrar Rahman, Santhosh Kumar Ramakrishnan, Neale Ratzlaff, Andrea Soltoggio, Peter Stone, Indranil Sur, Zhipeng Tang, Saket Tiwari, Kyle Vedder, Felix Wang, Zifan Xu, Angel Yanguas-Gil, Harel Yedidsion, Shangqun Yu, Gautam K. Vallabha

Neural Networks, March, 2023

Meta-learning Parameterized Skills.

Haotian Fu, Shangqun Yu, Saket Tiwari, Michael Littman, George Konidaris

Proceedings of the International Conference on Machine Learning, 2023

Integration of Riemannian Motion Policy with Whole-Body Control for Collision-Free Legged Locomotion.

Daniel Marew, Misha Lvovsky, Shangqun Yu, Shotaro Sessions, Donghyun Kim

Proceedings of the 22nd IEEE-RAS International Conference on Humanoid Robots, 2023

Q-functionals for Value-Based Continuous Control.

Samuel Lobel, Sreehari Rammohan, Bowen He, Shangqun Yu, George Konidaris

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Integration of Riemannian Motion Policy and Whole-Body Control for Dynamic Legged Locomotion.

Daniel Marew, Misha Lvovsky, Shangqun Yu, Shotaro Sessions, Donghyun Kim

CoRR, 2022

Meta-Learning Transferable Parameterized Skills.

Haotian Fu, Shangqun Yu, Saket Tiwari, George Dimitri Konidaris, Michael Littman

CoRR, 2022

Hierarchical Reinforcement Learning of Locomotion Policies in Response to Approaching Objects: A Preliminary Study.

Shangqun Yu, Sreehari Rammohan, Kaiyu Zheng, George Dimitri Konidaris

CoRR, 2022

Model-based Lifelong Reinforcement Learning with Bayesian Exploration.

Haotian Fu, Shangqun Yu, Michael Littman, George Konidaris

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Learning Generalizable Behavior via Visual Rewrite Rules.

Yiheng Xie, Mingxuan Li, Shangqun Yu, Michael L. Littman

CoRR, 2021

Value-Based Reinforcement Learning for Continuous Control Robotic Manipulation in Multi-Task Sparse Reward Settings.

Sreehari Rammohan, Shangqun Yu, Bowen He, Eric Hsiung, Eric Rosen, Stefanie Tellex, George Konidaris

CoRR, 2021