April 23-25, 2027 | Shenzhen, China
Special Session 1: Motion Control of Legged Robots 足式机器人运动控制
Introduction: Legged robots (quadrupeds, bipeds and humanoids) have demonstrated remarkable progress in dynamic locomotion, terrain adaptability and real-world deployment. However, achieving robust, efficient and versatile motion control under uncertainties (payload variation, slippery or unstructured terrain, external disturbances) remains a fundamental challenge. Classical model-based methods (MPC, WBC, hierarchical control) offer interpretability and safety guarantees, while learning-based approaches (RL, imitation learning, LLM-assisted policy generation) provide superior adaptability and sim-to-real transfer. This special session aims to bring together researchers working on the intersection of dynamics, control theory and machine learning for legged systems. Topics of interest include whole-body control, adaptive and robust locomotion, payload-aware control, perception-integrated motion planning, multi-contact and hybrid dynamics, energy-efficient gait generation, and the integration of foundation models into low-level controllers. The session will foster discussion on both theoretical advances and practical system implementations, accelerating the transition of legged robots from laboratory prototypes to reliable industrial and service platforms.
Topics of interest for submission include, but are not limited to:
1. Whole-body control and hierarchical control frameworks for legged robots
2. Model predictive control (MPC) and optimization-based locomotion
3. Reinforcement learning and imitation learning for dynamic gaits
4. Adaptive and robust control under payload and terrain uncertainty
5. Hybrid dynamics, multi-contact planning and balance recovery
6. Perception-integrated motion planning and terrain-aware locomotion
7. Energy-efficient and biologically inspired gait generation
8. Sim-to-real transfer and hardware implementation of controllers
9. Humanoid and bipedal locomotion control
10. Quadruped high-payload and high-speed locomotion
11. LLM / foundation-model assisted locomotion control
12. Fault-tolerant and safety-critical motion control
Submission Guideline:
Please submit your manuscript via Online Submission System:
https://easychair.org/conferences/?conf=eecr2027
Please choose "Special Session 1"
Organizers:
Shilong Sun, Harbin Institute of Technology, Shenzhen, China
Bio: Shilong Sun is an Associate Professor and Ph.D. supervisor at HIT Shenzhen. He received his Ph.D. from City University of Hong Kong in 2019 and was selected into the Shenzhen Overseas High-Level Talent Program and Hong Kong PH-ITF. His research covers humanoid/bipedal/quadrupedal locomotion control, reinforcement learning for legged robots, dexterous manipulation, human-robot interaction, and intelligent fault diagnosis. He has published 50+ papers in MSSP, IEEE TIE/TIM, ISA Transactions, Biomimetic Intelligence and Robotics, etc., and serves as reviewer for multiple top journals. He has made contributions to LLM-assisted locomotion control and learning-based gait generation for humanoid robots.
Jianwen Luo, Sun Yat-sen University (Shenzhen Campus), China
Bio: Jianwen Luo is an Associate Professor and Ph.D. supervisor at the School of Intelligent Systems Engineering, Sun Yat-sen University (Shenzhen Campus). He received his B.E., M.A. and Ph.D. degrees in Mechatronic Engineering from Harbin Institute of Technology. He was a joint Ph.D. student at Stanford University Robotics Lab and a visiting scholar at the University of Texas at Austin. He conducted postdoctoral research at MIT d'Arbeloff Lab (with Prof. Harry Asada) and the University of Science and Technology of China. His research focuses on robot dynamics and control, data-driven and model-based intelligent control, whole-body control, humanoid and quadruped locomotion, supernumerary robotic limbs, and tactile sensing. He has designed high-payload quadruped robots (e.g., Kirin with prismatic quasi-direct-drive legs) and multiple biped platforms. He has published extensively in IEEE RA-L, IEEE/ASME TMech, IJRR, International Journal of Mechanical Sciences, etc., and serves as Associate Editor of IEEE Robotics and Automation Letters and 2027 ICRA. He has led or participated in NSFC, Guangdong provincial projects, and major Shenzhen science & technology projects on legged robots and dexterous hands.