Kun Wang - RankMe

17 papers A* 1A 2C 1Misc 1Journal 10Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Impact-resistant, autonomous robots inspired by tensegrity architecture. CoRR William R. Johnson III, Xiaonan Huang, Shiyang Lu, Kun Wang, Joran W. Booth, Kostas E. Bekris, Rebecca Kramer-Bottiglio
2024	Misc	`conf`	Learning Differentiable Tensegrity Dynamics using Graph Neural Networks. CoRL Nelson Chen, Kun Wang, William R. Johnson III, Rebecca Kramer-Bottiglio, Kostas E. Bekris, Mridul Aanjaneya
2024	J	`jnl`	Learning Differentiable Tensegrity Dynamics using Graph Neural Networks. CoRR Nelson Chen, Kun Wang, William R. Johnson III, Rebecca Kramer-Bottiglio, Kostas E. Bekris, Mridul Aanjaneya
2023	A	`conf`	Real2Sim2Real Transfer for Control of Cable-Driven Robots Via a Differentiable Physics Engine. IROS Kun Wang, William R. Johnson III, Shiyang Lu, Xiaonan Huang, Joran W. Booth, Rebecca Kramer-Bottiglio, Mridul Aanjaneya, Kostas E. Bekris
2022	C	`conf`	6N-DoF Pose Tracking for Tensegrity Robots. ISRR Shiyang Lu, William R. Johnson III, Kun Wang, Xiaonan Huang, Joran W. Booth, Rebecca Kramer-Bottiglio, Kostas E. Bekris
2022	J	`jnl`	6N-DoF Pose Tracking for Tensegrity Robots. CoRR Shiyang Lu, William R. Johnson III, Kun Wang, Xiaonan Huang, Joran W. Booth, Rebecca Kramer-Bottiglio, Kostas E. Bekris
2022	A*	`conf`	A Recurrent Differentiable Engine for Modeling Tensegrity Robots Trainable with Low-Frequency Data. ICRA Kun Wang, Mridul Aanjaneya, Kostas E. Bekris
2022	J	`jnl`	A Recurrent Differentiable Engine for Modeling Tensegrity Robots Trainable with Low-Frequency Data. CoRR Kun Wang, Mridul Aanjaneya, Kostas E. Bekris
2022	J	`jnl`	Real2Sim2Real Transfer for Control of Cable-driven Robots via a Differentiable Physics Engine. CoRR Kun Wang, William R. Johnson III, Shiyang Lu, Xiaonan Huang, Joran W. Booth, Rebecca Kramer-Bottiglio, Mridul Aanjaneya, Kostas E. Bekris
2021	J	`jnl`	Adaptive tensegrity locomotion: Controlling a compliant icosahedron with symmetry-reduced reinforcement learning. Int. J. Robotics Res. David Allen Surovik, Kun Wang, Massimo Vespignani, Jonathan Bruce, Kostas E. Bekris
2021	A	`conf`	Sim2Sim Evaluation of a Novel Data-Efficient Differentiable Physics Engine for Tensegrity Robots. IROS Kun Wang, Mridul Aanjaneya, Kostas E. Bekris
2020	—	`conf`	A First Principles Approach for Data-Efficient System Identification of Spring-Rod Systems via Differentiable Physics Engines. L4DC Kun Wang, Mridul Aanjaneya, Kostas E. Bekris
2020	J	`jnl`	A First Principles Approach for Data-Efficient System Identification of Spring-Rod Systems via Differentiable Physics Engines. CoRR Kun Wang, Mridul Aanjaneya, Kostas E. Bekris
2020	J	`jnl`	An End-to-End Differentiable but Explainable Physics Engine for Tensegrity Robots: Modeling and Control. CoRR Kun Wang, Mridul Aanjaneya, Kostas E. Bekris
2020	J	`jnl`	Spring-Rod System Identification via Differentiable Physics Engine. CoRR Kun Wang, Mridul Aanjaneya, Kostas E. Bekris
2018	J	`jnl`	Adaptive Tensegrity Locomotion on Rough Terrain via Reinforcement Learning. CoRR David Allen Surovik, Kun Wang, Kostas E. Bekris
2018	—	`conf`	Any-Axis Tensegrity Rolling via Symmetry-Reduced Reinforcement Learning. ISER David Allen Surovik, Jonathan Bruce, Kun Wang, Massimo Vespignani, Kostas E. Bekris