Kun Wang

According to our database, Kun Wang authored at least 12 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Impact-resistant, autonomous robots inspired by tensegrity architecture.

William R. Johnson III, Xiaonan Huang, Shiyang Lu, Kun Wang, Joran W. Booth, Kostas E. Bekris, Rebecca Kramer-Bottiglio

CoRR, January, 2025

2024

Learning Differentiable Tensegrity Dynamics using Graph Neural Networks.

Nelson Chen, Kun Wang, William R. Johnson III, Rebecca Kramer-Bottiglio, Kostas E. Bekris, Mridul Aanjaneya

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

2023

Real2Sim2Real Transfer for Control of Cable-Driven Robots Via a Differentiable Physics Engine.

Kun Wang, William R. Johnson III, Shiyang Lu, Xiaonan Huang, Joran W. Booth, Rebecca Kramer-Bottiglio, Mridul Aanjaneya, Kostas E. Bekris

IROS, 2023

2022

6N-DoF Pose Tracking for Tensegrity Robots.

Shiyang Lu, William R. Johnson III, Kun Wang, Xiaonan Huang, Joran W. Booth, Rebecca Kramer-Bottiglio, Kostas E. Bekris

Proceedings of the Robotics Research, 2022

A Recurrent Differentiable Engine for Modeling Tensegrity Robots Trainable with Low-Frequency Data.

Kun Wang, Mridul Aanjaneya, Kostas E. Bekris

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

Adaptive tensegrity locomotion: Controlling a compliant icosahedron with symmetry-reduced reinforcement learning.

David Allen Surovik, Kun Wang, Massimo Vespignani, Jonathan Bruce, Kostas E. Bekris

Int. J. Robotics Res., 2021

Sim2Sim Evaluation of a Novel Data-Efficient Differentiable Physics Engine for Tensegrity Robots.

Kun Wang, Mridul Aanjaneya, Kostas E. Bekris

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020

An End-to-End Differentiable but Explainable Physics Engine for Tensegrity Robots: Modeling and Control.

Kun Wang, Mridul Aanjaneya, Kostas E. Bekris

CoRR, 2020

Spring-Rod System Identification via Differentiable Physics Engine.

Kun Wang, Mridul Aanjaneya, Kostas E. Bekris

CoRR, 2020

A First Principles Approach for Data-Efficient System Identification of Spring-Rod Systems via Differentiable Physics Engines.

Kun Wang, Mridul Aanjaneya, Kostas E. Bekris

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

2018

Adaptive Tensegrity Locomotion on Rough Terrain via Reinforcement Learning.

David Allen Surovik, Kun Wang, Kostas E. Bekris

CoRR, 2018

Any-Axis Tensegrity Rolling via Symmetry-Reduced Reinforcement Learning.

David Allen Surovik, Jonathan Bruce, Kun Wang, Massimo Vespignani, Kostas E. Bekris

Proceedings of the 2018 International Symposium on Experimental Robotics, 2018