Now showing items 1-4 of 4

    • Adaptive Rigidification of Discrete Shells 

      Mercier-Aubin, Alexandre; Kry, Paul G. (ACM Association for Computing Machinery, 2023)
      We present a method to improve the computation time of thin shell simulations by using adaptive rigidification to reduce the number of degrees of freedom. Our method uses a discretization independent metric for bending ...
    • Coupling Friction with Visual Appearance 

      Andrews, Sheldon; Nassif, Loic; Erleben, Kenny; Kry, Paul G. (ACM, 2021)
      We present a novel meso-scale model for computing anisotropic and asymmetric friction for contacts in rigid body simulations that is based on surface facet orientations. The main idea behind our approach is to compute a ...
    • Global Position Prediction for Interactive Motion Capture 

      Schreiner, Paul; Perepichka, Maksym; Lewis, Hayden; Darkner, Sune; Kry, Paul G.; Erleben, Kenny; Zordan, Victor B. (ACM, 2021)
      We present a method for reconstructing the global position of motion capture where position sensing is poor or unavailable. Capture systems, such as IMU suits, can provide excellent pose and orientation data of a capture ...
    • Too Stiff, Too Strong, Too Smart: Evaluating Fundamental Problems with Motion Control Policies 

      Xie, Kaixiang; Xu, Pei; Andrews, Sheldon; Zordan, Victor B.; Kry, Paul G. (ACM Association for Computing Machinery, 2023)
      Deep reinforcement learning (DRL) methods have demonstrated impressive results for skilled motion synthesis of physically based characters, and while these methods perform well in terms of tracking reference motions or ...