Kun Wang

Cited by

	All	Since 2019
Citations	183	170
h-index	6	5
i10-index	5	5

20182019202020212022202320241 2 15 17 61 58 17

Public access

View all

8 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Kostas BekrisProfessor of Computer Science, Rutgers UniversityVerified email at cs.rutgers.edu
Mridul AanjaneyaAssistant Professor of Computer Science, Rutgers UniversityVerified email at rutgers.edu
Massimo VespignaniKBR Robotics Engineer at NASA Ames Research CenterVerified email at nasa.gov
David SurovikResearcher at The Boston Dynamics AI InstituteVerified email at theaiinstitute.com
Joran BoothResearch Scientist, Yale UniversityVerified email at yale.edu
Rebecca Kramer-BottiglioYale UniversityVerified email at yale.edu
Jonathan BruceTechnical Lead of Tensegrity Research within the Intelligent Robotics Group at NASA's Ames ResearchVerified email at nasa.gov
Robert BainesETH ZurichVerified email at ethz.ch
Dylan ShahYale UniversityVerified email at aya.yale.edu
Xiaonan (Sean) HuangUniversity of Michigan, Ann ArborVerified email at umich.edu
Shiyang LuPhD Candidate, CS @ Rutgers UniversityVerified email at rutgers.edu
Will JohnsonPhD Candidate, Yale UniversityVerified email at yale.edu
Abdeslam BoulariasRutgers UniversityVerified email at cs.rutgers.edu

Kun Wang

Amazon Robotics

Verified email at scarletmail.rutgers.edu

Robotics Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Tensegrity robotics DS Shah, JW Booth, RL Baines, K Wang, M Vespignani, K Bekris, ... Soft robotics 9 (4), 639-656, 2022	72	2022
Adaptive tensegrity locomotion: Controlling a compliant icosahedron with symmetry-reduced reinforcement learning D Surovik, K Wang, M Vespignani, J Bruce, KE Bekris The International journal of robotics research 40 (1), 375-396, 2021	34	2021
A first principles approach for data-efficient system identification of spring-rod systems via differentiable physics engines K Wang, M Aanjaneya, K Bekris Learning for Dynamics and Control, 651-665, 2020	19	2020
Sim2sim evaluation of a novel data-efficient differentiable physics engine for tensegrity robots K Wang, M Aanjaneya, K Bekris 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021	18*	2021
Any-axis tensegrity rolling via symmetry-reduced reinforcement learning D Surovik, J Bruce, K Wang, M Vespignani, K Bekris Proceedings of the 2018 International Symposium on Experimental Robotics …, 2020	14*	2020
A Recurrent Differentiable Engine for Modeling Tensegrity Robots Trainable with Low-Frequency Data K Wang, M Aanjaneya, K Bekris 2022 International Conference on Robotics and Automation (ICRA), 2022	6	2022
6N-DoF Pose Tracking for Tensegrity Robots S Lu, WR Johnson III, K Wang, X Huang, J Booth, R Kramer-Bottiglio, ... International Symposium of Robotic Research, 2022	5	2022
Adaptive tensegrity locomotion on rough terrain via reinforcement learning D Surovik, K Wang, KE Bekris arXiv preprint arXiv:1809.10710, 2018	5	2018
Real2Sim2Real Transfer for Control of Cable-driven Robots via a Differentiable Physics Engine K Wang, WR Johnson III, S Lu, X Huang, J Booth, R Kramer-Bottiglio, ... 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023	4	2023
A Recurrent Differentiable Physics Engine for Tensegrity Robots K Wang, M Aanjaneya, K Bekris RSS 2022 Workshop, 2022	2	2022
Spring-Rod System Identification via Differentiable Physics Engine K Wang, M Aanjaneya, K Bekris NIPS 2020 Workshop, 2020	2	2020
Physics-aware Self-supervised Training of CNNs for Object Detection C Mitash, K Wang, KE Bekris, A Boularias	2	2017
Closing the Reality Gap for Controlling Tensegrity Robots via Differentiable Physics Engines K Wang Rutgers The State University of New Jersey, School of Graduate Studies, 2022		2022

The system can't perform the operation now. Try again later.

Articles 1–13

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors