Publication

Journals

• Yingke Li, Mengxue Hou, Enlu Zhou and Fumin Zhang, “Dynamic Event-triggered Integrated Task and Motion Planning for Process-aware Source Seeking,” Autonomous Robots (AURO), under review.

• Yingke Li, Yifan Lin, Enlu Zhou and Fumin Zhang, “Bayesian Risk-averse Model Predictive Control with Consistency and Stability Guarantees,” IEEE Transactions on Automatic Control (TAC), under review.

• Yingke Li, Carol Young, Ningshi Yao, Fumin Zhang, “Avoiding Chatters with Hesitation in Human-Robot Co-Learning”, Automatica, under review.

• Yingke Li, Enlu Zhou and Fumin Zhang, “A Distributed Bayesian Data Fusion Algorithm with Uniform Consistency,” IEEE Transactions on Automatic Control (TAC), under review.

• Yingke Li, Tianyi Liu, Enlu Zhou and Fumin Zhang. “Bayesian Learning Model Predictive Control for Process-aware Source Seeking,” IEEE Control Systems Letters (L-CSS), vol. 6, pp. 692-697, 2022, doi: 10.1109/LCSYS.2021.3085852.

Conferences

• Yingke Li and Fumin Zhang, “Trust-Preserved Human-Robot Shared Autonomy enabled by Bayesian Relational Event Modeling,” 2024 International Conference on Robotics and Automation (ICRA), submitted.

• Yingke Li, Ziqiao Zhang, Junkai Wang, Huibo Zhang, Enlu Zhou and Fumin Zhang, “Cognition Difference-based Dynamic Trust Network for Distributed Bayesian Data Fusion,” 2023 International Conference on Intelligent Robots and Systems (IROS), accepted.

• Yingke Li, Ziqiao Zhang and Fumin Zhang, “Hybrid Co-Learning for Proximate Human-Robot Teaming,” 2023 20th International Conference on Ubiquitous Robots (UR), Honolulu, HI, USA, 2023, pp. 239-244, doi: 10.1109/UR57808.2023.10202393.

• Yingke Li, Mengxue Hou, Enlu Zhou and Fumin Zhang, “Integrated Task and Motion Planning for Process-aware Source Seeking,” 2023 American Control Conference (ACC), San Diego, CA, USA, 2023, pp. 527-532, doi: 10.23919/ACC55779.2023.10156291.

• Mengxue Hou, Yingke Li, Fumin Zhang, Shreyas Sundaram and Shaoshuai Mou, “An Interleaved Algorithm for Integration of Robotic Task and Motion Planning,” 2023 American Control Conference (ACC), San Diego, CA, USA, 2023, pp. 539-544, doi: 10.23919/ACC55779.2023.10156651.

• Yingke Li, Yifan Lin, Enlu Zhou and Fumin Zhang, “Risk-Aware Model Predictive Control Enabled by Bayesian Learning,” 2022 American Control Conference (ACC), Atlanta, GA, USA, 2022, pp. 108-113, doi: 10.23919/ACC53348.2022.9867207.

• Jonas Warnke*, Abdulaziz Shamsah*, Yingke Li*, and Ye Zhao (*equally contributed), “Towards Safe Locomotion Navigation in Partially Observable Environments with Uneven Terrain,” 2020 Conference on Decision and Control (CDC), Jeju, Korea (South), 2020, pp. 958-965, doi: 10.1109/CDC42340.2020.9304219.

• Luocheng Zheng, Pengfei Rao, Yingke Li and Mingguo Zhao, “Admittance Control Based Humanoid Robot Standing Balance Control,” 2019 International Conference on Advanced Robotics and its Social Impacts (ARSO), Beijing, China, 2019, pp. 167-173, doi: 10.1109/ARSO46408.2019.8948802.

• Sipu Ruan, Karen Poblete, Yingke Li, Qian Lin, Qianli Ma and Gregory Chirikjian, “Efficient Exact Collision Detection between Ellipsoids and Superquadrics via Generalized Closed- form Minkowski Sums,” 2019 International Conference on Robotics and Automation (ICRA), Montreal, QC, Canada, 2019, pp. 1765-1771, doi: 10.1109/ICRA.2019.8793496.