May 17th, 2024 Room 418      
Time Speaker Organization Title  
08:30 - 09:00 Kunio Kojima & Annan Tang University of Tokyo Towards Versatile Whole-Body Motion Behavior for Humanoid Robot: From Model-Based Control to Reinforcement Learning  
09:00 - 09:30 Ko Ayusawa AIST Humanoid motion optimization for understanding and reproducing human movements  
09:30 - 10:00 Dana Kulic Monash University Anticipatory Control: Using Prediction of Intended Movement for Control  
10:00 - 10:30 Maurice Fallon Oxford Robotics Institute Sensor Fusion based Legged Robot Visual Perception, Navigation and State Estimation  
10:00 - 10:30   Coffee Break & Poster Session    
11:00 - 11:30 Hu Yue University of Waterloo Exploring Robot Walking: Insights from Human Motion  
11:30 - 12:00 Wataru Takano Osaka University Translation between human whole body motion and language for humanoid AI  
12:00-12:30 Yoshihiko Nakamura Summary & Panel Discussion    
12:30-13:30   Lunch    
13:30- 14:00 Abderrahmane Kheddar CNRS-AIST JRL, CNRS-UM LIRMM Direct Centroidal Control for Balanced Humanoid Locomotion  
14:00 - 14:30 Majid Khadiv Technical University of Munich Optimal Control and Learning for Agile Locomotion  
14:30 - 15:00 Katja Mombaur Karlsruhe Institute of Technology
University of Waterloo
From humans to robots: improving whole-body stability and robustness in humanoid robots from an analysis of Karate experts  
15:00 - 15:30 Maegan Tucker Georgia Institute of Technology Whole-body control for human assistance  
15:30 - 16:00   Coffee Break & Outreach Event    
16:00 - 16:30 Xingxing Wang Unitree Robotics Welcome the arrival of the era of robot intelligence  
16:30 - 17:00 Patrick Wensing University of Norte Dame Informed MPC: Leveraging human data, robot experience, and high-order dynamics for optimal whole-body control