2 citations · 2 across the 1 of their papers we have counts for
4 papers
DASH: Modularized Human Manipulation Simulation with Vision and Language for Embodied AI
Yifeng Jiang, Michelle Guo, Jiangshan Li +3
Creating virtual humans with embodied, human-like perceptual and actuation constraints has the promise to provide an integrated simulation platform for many scientific and engineer…
SimGAN: Hybrid Simulator Identification for Domain Adaptation via Adversarial Reinforcement Learning
Yifeng Jiang, Tingnan Zhang, Daniel Ho +4
As learning-based approaches progress towards automating robot controllers design, transferring learned policies to new domains with different dynamics (e.g. sim-to-real transfer)…
Policy Transfer via Kinematic Domain Randomization and Adaptation
Ioannis Exarchos, Yifeng Jiang, Wenhao Yu +1
Transferring reinforcement learning policies trained in physics simulation to the real hardware remains a challenge, known as the "sim-to-real" gap. Domain randomization is a simpl…
Synthesis of Biologically Realistic Human Motion Using Joint Torque Actuation
Yifeng Jiang, Tom Van Wouwe, Friedl De Groote +1
Using joint actuators to drive the skeletal movements is a common practice in character animation, but the resultant torque patterns are often unnatural or infeasible for real huma…