معرفی
Michiel van de Panne is a Professor in the Department of Computer Science at the University of British Columbia (UBC), within the Faculty of Science. His research focuses on computer graphics, robotics, and artificial intelligence, with emphasis on physics-based animation, reinforcement learning for motion control, and character animation. He teaches advanced courses such as Computer Animation (CPSC 426) and Topics in Computer Graphics (CPSC 533V), emphasizing topics like Learning to Move and Motion Optimization.
Dr. van de Panne has been recognized with prestigious awards including the SIGGRAPH Academy Membership, SIGGRAPH Computer Graphics Achievement Award, and multiple Best Paper Awards across conferences like ACM SIGGRAPH and IEEE Vis. His work bridges theoretical advancements with practical applications in interactive animation and autonomous systems.
His research group explores cutting-edge methods for simulating and controlling dynamic motions, including locomotion in complex environments, motion planning with diffusion models, and imitation learning for humanoid and quadrupedal robots. He collaborates on projects ranging from physically-based balance control to curriculum-driven learning for stepping stone skills.
- Research Themes: Physics-based animation, reinforcement learning, motion synthesis, character control, and sim-to-real robotics.
- Key Contributions: SIMBICON biped control, DeepMimic example-guided RL, and diffusion-based motion planning techniques.
His educational contributions include developing novel curricula and receiving the UBC 2018 Faculty Teaching Award, reflecting his commitment to advancing both research and education in computer graphics and AI.
