Refereed Journal and Conference Papers
Bohan Feng, Youyi Bi, Mian Li, Liyong Lin. (2023). A Decentralized Multi-Agent Path Planning Approach Based on Imitation Learning and Global Static Feature Extraction. ASME 2023 International Mechanical Engineering Congress and Exposition (IMECE2023), October 29 – November 2, 2023, New Orleans, LA, USA. https://doi.org/10.1115/IMECE2023-113113.
Bohan Feng, Xinting Jiang, Youyi Bi. (2023). A Robot Motion Planning Approach Based on Adaptive Multi-Tree Sampling. ASME 2023 International Mechanical Engineering Congress and Exposition (IMECE2023), October 29 – November 2, 2023, New Orleans, LA, USA. https://doi.org/10.1115/IMECE2023-113127.
Qi Zhou, Sikai Li, Jingbo Qu, Jin Wu, Haomiao Xu, Youyi Bi. (2023). An Adaptive Path Planning Approach for Digital Twin-Enabled Robot Arm Based on Inverse Kinematics and Deep Reinforcement Learning. ASME 2023 International Mechanical Engineering Congress and Exposition (IMECE2023), October 29 – November 2, 2023, New Orleans, LA, USA. https://doi.org/10.1115/IMECE2023-113131.
Jiangshan Liu, Youyi Bi. (2023). System Parameter Design for Community Microgrid Energy System Based on A Bi-Level Optimization Model. ASME 2023 International Mechanical Engineering Congress and Exposition (IMECE2023), October 29 – November 2, 2023, New Orleans, LA, USA. https://doi.org/10.1115/IMECE2023-113149.
Liu, S., Feng, B., Yu, D. & Bi, Y. (2022) An Integrated Task and Path Planning Approach For Mobile Robots in Smart Factory. ASME 2022 International Mechanical Engineering Congress and Exposition (IMECE2022), October 30-November 3, 2022, Columbus, Ohio. https://doi.org/10.1115/IMECE2022-95364.
Cheng, A., Shen, M. & Bi, Y. (2022) Approach for KANO-IPA Analysis for Product Attributes from Online Reviews and Product Maintenance Records. ASME 2022 International Mechanical Engineering Congress and Exposition (IMECE2022), October 30-November 3, 2022, Columbus, Ohio. https://doi.org/10.1115/IMECE2022-95362.
Bi, Y., Qiu, Y., Sha, Z. et al. Modeling Multi-Year Customers’ Considerations and Choices in China’s Auto Market Using Two-Stage Bipartite Network Analysis. Netw Spat Econ (2021). https://doi.org/10.1007/s11067-021-09526-9.