Now showing items 1-2 of 2

    • Hierarchical Planning and Control for Complex Motor Tasks 

      Zimmermann, Daniel; Coros, Stelian; Ye, Yuting; Sumner, Robert W.; Gross, Markus (ACM Siggraph, 2015)
      We present a planning and control framework that enables physically simulated characters to perform various types of motor tasks. To create physically-valid motion plans, our method uses a hierarchical set of simplified ...
    • Learning Reduced-Order Feedback Policies for Motion Skills 

      Ding, Kai; Liu, Libin; Panne, Michiel van de; Yin, KangKang (ACM Siggraph, 2015)
      We introduce a method for learning low-dimensional linear feedback strategies for the control of physics-based animated characters around a given reference trajectory. This allows for learned low-dimensional state abstractions ...