Synthesis of Biologically Realistic Human Motion Using Joint Torque
Actuation

Synthesis of Biologically Realistic Human Motion Using Joint Torque Actuation

30 April 2019

Tom Van Wouwe

Papers citing "Synthesis of Biologically Realistic Human Motion Using Joint Torque Actuation"

11 / 11 papers shown

Title
Bidirectional GaitNet: A Bidirectional Prediction Model of Human Gait and Anatomical Conditions Jungnam Park M. Park Jehee Lee Jungdam Won 3DH 30 5 0 07 Jun 2023
DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems Pierre Schumacher Daniel Haeufle Le Chen Syn Schmitt Georg Martius 23 31 0 30 May 2022
ASE: Large-Scale Reusable Adversarial Skill Embeddings for Physically Simulated Characters Xue Bin Peng Yunrong Guo L. Halper Sergey Levine Sanja Fidler 28 15 0 04 May 2022
Learning to Get Up Tianxin Tao Matthew Wilson R. Gou M. van de Panne 28 17 0 30 Apr 2022
Generative GaitNet Jungnam Park Sehee Min P. Chang Jaedong Lee M. Park Jehee Lee 3DH 14 19 0 28 Jan 2022
Modeling human intention inference in continuous 3D domains by inverse planning and body kinematics Yingdong Qian Marta Kryven Tao Gao Hanbyul Joo J. Tenenbaum 19 1 0 02 Dec 2021
An Adaptable Approach to Learn Realistic Legged Locomotion without Examples Daniel Felipe Ordoñez Apraez Antonio Agudo Francesc Moreno-Noguer Mario Martin 44 8 0 28 Oct 2021
Learning and Exploring Motor Skills with Spacetime Bounds Li-Ke Ma Zeshi Yang Xin Tong B. Guo KangKang Yin 29 23 0 31 Mar 2021
Contact and Human Dynamics from Monocular Video Davis Rempe Leonidas J. Guibas Aaron Hertzmann Bryan C. Russell Ruben Villegas Jimei Yang 3DH 82 101 0 22 Jul 2020
DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills Xue Bin Peng Pieter Abbeel Sergey Levine M. van de Panne AI4CE 175 495 0 08 Apr 2018
Learning to Run challenge: Synthesizing physiologically accurate motion using deep reinforcement learning L. Kidzinski Sharada Mohanty Carmichael F. Ong Jennifer Hicks Sean F. Carroll Sergey Levine M. Salathé Scott L. Delp 19 60 0 31 Mar 2018