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ORCIDKun Wang 0038
Person information
- affiliation: Rutgers University, Computer Science Department, Piscataway, NJ, USA
Other persons with the same name
- Kun Wang — disambiguation page
- Kun Wang 0001 — Xidian University, School of Computer Science, Xi'an, China
- Kun Wang 0002
![[0000-0003-4128-1112]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-4128-1112")
— Acreo Swedish ICT AB, Department of NetLab, Kista, Sweden - Kun Wang 0003 — University of California at Davis, Department of Electrical and Computer Engineering, CA, USA
- Kun Wang 0004 — Illinois Institute of Technology, Department of Biomedical Engineering, Chicago, IL, USA
- Kun Wang 0005 — University of California at Los Angeles, CA, USA (and 5 more)
- Kun Wang 0006 — Tongji University, Shanghai, Department of Mechanical Engineering, China
- Kun Wang 0007 — National Computer Network Emergency Response Technical Team/Coordination Center of China, Beijing, China (and 1 more)
- Kun Wang 0008 — University of Science and Technology of China, Optical Wireless Communication and Network Center, Hefei, China
- Kun Wang 0009 — Ocean University of China, College of Engineering, Qingdao, China (and 1 more)
- Kun Wang 0010 — South China University of Technology, School of Electronics and Information Engineering, Guangzhou, China
- Kun Wang 0011 — Northwestern Polytechnical University, Department of Communications Engineering, State-and-Provincial Joint Laboratory of Internet-of-Things Technologies and Applications, Xi'an, China
- Kun Wang 0012 — Beijing University of Aeronautics and Astronautics, School of Instrumentation Science and Optoelectronics Engineering, Beijing, China (and 1 more)
- Kun Wang 0013 — Dalian University of Technology, School of Software, China
- Kun Wang 0014 — Zhejiang University, College of Electrical Engineering, Hangzhou, China
- Kun Wang 0015 — Arizona State University, Tempe, USA
- Kun Wang 0016 — Chinese Academy of Science, Institute of Plasma Physics, Hefei, China
- Kun Wang 0017 — Jilin University, College of Geo-Exploration Science and Technology, Changchun, China
- Kun Wang 0018 — Donghua University, Shanghai, China (and 1 more)
- Kun Wang 0019 — Chinese Academy of Sciences, Key Laboratory of Molecular Imaging and Functional Imaging, Institute of Automation, Beijing, China
- Kun Wang 0020 — Google, Pittsburgh, PA, USA (and 1 more)
- Kun Wang 0021 — Anhui Polytechnic University, College of Computer and Information, Wuhu, China (and 1 more)
- Kun Wang 0022 — University of Calgary, Department of Chemical and Petroleum Engineering, AB, Canada (and 1 more)
- Kun Wang 0023 — Zhejiang University, China
- Kun Wang 0024 — Shopee Pte. Ltd., Shanghai, China
- Kun Wang 0025 — Zhejiang University, College of Computer Science and Technology, Hangzhou, China
- Kun Wang 0026 — Shanghai Jiao Tong University, Shanghai, China
- Kun Wang 0027 — Xidian University, Xi'an, China
- Kun Wang 0028 — Southwest Jiaotong University, Chengdu, China
- Kun Wang 0029 — Alibaba Cloud Computing, Hangzhou, China
- Kun Wang 0030 — Chongqing University, College of Mathematics and Statistics, Chongqing, China
- Kun Wang 0031 — Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
- Kun Wang 0032 — National Institute of Metrology, Beijing, China
- Kun Wang 0033 — Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
- Kun Wang 0034 — Beihang University, Hangzhou, China
- Kun Wang 0035 — Shandong University of Science and Technology, Qingdao, China
- Kun Wang 0036 — City University of Hong Kong, Hong Kong, SAR, China
- Kun Wang 0037 — Lanzhou University of Technology, Lanzhou, China
- Kun Wang 0039 — Shandong University, Jinan, China
- Kun Wang 0040 — Zhejiang University, Hangzhou, China
- Kun Wang 0041 — Hefei University of Technology, Hefei, Anhui, China
- Kun Wang 0042 — National University of Singapore, Singapore (and 1 more)
- Kun Wang 0043 — Beihang University, Beijing, China
- Kun Wang 0044 — Baidu Research, Beijing, China
- Kun Wang 0045 — Fuzhou Polytechnic, Fuzhou, China
- Kun Wang 0046 — Sichuan University, Chengdu, China
- Kun Wang 0047 — Huazhong University of Science and Technology, Wuhan, China
- Kun Wang 0048 — Shanghai University, Shanghai, China
- Kun Wang 0049 — Rutgers Business School, Newark, NJ, USA
- Kun Wang 0050 — University of Technology Sydney, Sydney, NSW, Australia
- Kun Wang 0051 — City University of Hong Kong, Hong Kong, SAR, China
- Kun Wang 0052 — Beihang University, Hangzhou, China
- Kun Wang 0053 — Tianjin University, Tianjin, China
- Kun Wang 0054 — Beihang University, Beijing, China
- Kun Wang 0055 — Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China
- Kun Wang 0056 — Nanyang Technological University, Singapore (and 1 more)
- Kun Wang 0057 — Southeast University, School of Cyber Science and Engineering, Nanjing, China (and 1 more)
- Kun Wang 0058 — Los Alamos National Laboratory, Fluid Dynamics and Solid Mechanics Group, Los Alamos, CA, USA (and 1 more)
- Kun Wang 0059 — National University of Defense Technology, College of Information and Communication, Wuhan, China (and 2 more)
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2020 – today
- 2025
[i9]William R. Johnson III, Xiaonan Huang, Shiyang Lu, Kun Wang, Joran W. Booth, Kostas E. Bekris, Rebecca Kramer-Bottiglio:
Impact-resistant, autonomous robots inspired by tensegrity architecture. CoRR abs/2501.15078 (2025)- 2024
- [c7]Nelson Chen, Kun Wang, William R. Johnson III, Rebecca Kramer-Bottiglio, Kostas E. Bekris, Mridul Aanjaneya:
Learning Differentiable Tensegrity Dynamics using Graph Neural Networks. CoRL 2024: 5134-5149 - [i8]Nelson Chen, Kun Wang, William R. Johnson III, Rebecca Kramer-Bottiglio, Kostas E. Bekris, Mridul Aanjaneya:
Learning Differentiable Tensegrity Dynamics using Graph Neural Networks. CoRR abs/2410.12216 (2024) - 2023
- [c6]Kun Wang, William R. Johnson III, Shiyang Lu, Xiaonan Huang, Joran W. Booth, Rebecca Kramer-Bottiglio, Mridul Aanjaneya, Kostas E. Bekris:
Real2Sim2Real Transfer for Control of Cable-Driven Robots Via a Differentiable Physics Engine. IROS 2023: 2534-2541 - 2022
- [c5]Kun Wang, Mridul Aanjaneya, Kostas E. Bekris:
A Recurrent Differentiable Engine for Modeling Tensegrity Robots Trainable with Low-Frequency Data. ICRA 2022: 3230-3237 - [c4]Shiyang Lu, William R. Johnson III, Kun Wang, Xiaonan Huang, Joran W. Booth, Rebecca Kramer-Bottiglio, Kostas E. Bekris:
6N-DoF Pose Tracking for Tensegrity Robots. ISRR 2022: 136-152 - [i7]Kun Wang, Mridul Aanjaneya, Kostas E. Bekris:
A Recurrent Differentiable Engine for Modeling Tensegrity Robots Trainable with Low-Frequency Data. CoRR abs/2203.00041 (2022) - [i6]Shiyang Lu, William R. Johnson III, Kun Wang, Xiaonan Huang, Joran W. Booth, Rebecca Kramer-Bottiglio, Kostas E. Bekris:
6N-DoF Pose Tracking for Tensegrity Robots. CoRR abs/2205.14764 (2022) - [i5]Kun Wang, William R. Johnson III, Shiyang Lu, Xiaonan Huang, Joran W. Booth, Rebecca Kramer-Bottiglio, Mridul Aanjaneya, Kostas E. Bekris:
Real2Sim2Real Transfer for Control of Cable-driven Robots via a Differentiable Physics Engine. CoRR abs/2209.06261 (2022) - 2021
- [j1]David Allen Surovik, Kun Wang, Massimo Vespignani, Jonathan Bruce, Kostas E. Bekris:
Adaptive tensegrity locomotion: Controlling a compliant icosahedron with symmetry-reduced reinforcement learning. Int. J. Robotics Res. 40(1) (2021) - [c3]Kun Wang, Mridul Aanjaneya, Kostas E. Bekris:
Sim2Sim Evaluation of a Novel Data-Efficient Differentiable Physics Engine for Tensegrity Robots. IROS 2021: 1694-1701 - 2020
- [c2]Kun Wang, Mridul Aanjaneya, Kostas E. Bekris:
A First Principles Approach for Data-Efficient System Identification of Spring-Rod Systems via Differentiable Physics Engines. L4DC 2020: 651-665 - [i4]Kun Wang, Mridul Aanjaneya, Kostas E. Bekris:
A First Principles Approach for Data-Efficient System Identification of Spring-Rod Systems via Differentiable Physics Engines. CoRR abs/2004.13859 (2020) - [i3]Kun Wang, Mridul Aanjaneya, Kostas E. Bekris:
Spring-Rod System Identification via Differentiable Physics Engine. CoRR abs/2011.04910 (2020) - [i2]Kun Wang, Mridul Aanjaneya, Kostas E. Bekris:
An End-to-End Differentiable but Explainable Physics Engine for Tensegrity Robots: Modeling and Control. CoRR abs/2011.04929 (2020)
2010 – 2019
- 2018
- [c1]David Allen Surovik, Jonathan Bruce, Kun Wang, Massimo Vespignani, Kostas E. Bekris:
Any-Axis Tensegrity Rolling via Symmetry-Reduced Reinforcement Learning. ISER 2018: 411-421 - [i1]David Allen Surovik, Kun Wang, Kostas E. Bekris:
Adaptive Tensegrity Locomotion on Rough Terrain via Reinforcement Learning. CoRR abs/1809.10710 (2018)
Coauthor Index
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