Now showing items 1-4 of 4

    • ALLSTEPS: Curriculum-driven Learning of Stepping Stone Skills 

      Xie, Zhaoming; Ling, Hung Yu; Kim, Nam Hee; Panne, Michiel van de (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Humans are highly adept at walking in environments with foot placement constraints, including stepping-stone scenarios where footstep locations are fully constrained. Finding good solutions to stepping-stone locomotion is ...
    • Hierarchical Planning and Control for Box Loco-Manipulation 

      Xie, Zhaoming; Tseng, Jonathan; Starke, Sebastian; Panne, Michiel van de; Liu, C. Karen (ACM Association for Computing Machinery, 2023)
      Humans perform everyday tasks using a combination of locomotion and manipulation skills. Building a system that can handle both skills is essential to creating virtual humans. We present a physically-simulated human capable ...
    • Physics-based Motion Retargeting from Sparse Inputs 

      Reda, Daniele; Won, Jungdam; Ye, Yuting; Panne, Michiel van de; Winkler, Alexander (ACM Association for Computing Machinery, 2023)
      Avatars are important to create interactive and immersive experiences in virtual worlds. One challenge in animating these characters to mimic a user’s motion is that commercial AR/VR products consist only of a headset and ...
    • A Survey on Reinforcement Learning Methods in Character Animation 

      Kwiatkowski, Ariel; Alvarado, Eduardo; Kalogeiton, Vicky; Liu, C. Karen; Pettré, Julien; Panne, Michiel van de; Cani, Marie-Paule (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Reinforcement Learning is an area of Machine Learning focused on how agents can be trained to make sequential decisions, and achieve a particular goal within an arbitrary environment. While learning, they repeatedly take ...