317 citations · 398 across the 18 of their papers we have counts for
18 papers
Differentiable Particles for General-Purpose Deformable Object Manipulation
Siwei Chen, Yiqing Xu, Cunjun Yu +2
Deformable object manipulation is a long-standing challenge in robotics. While existing approaches often focus narrowly on a specific type of object, we seek a general-purpose algo…
InsActor: Instruction-driven Physics-based Characters
Jiawei Ren, Mingyuan Zhang, Cunjun Yu +3
Generating animation of physics-based characters with intuitive control has long been a desirable task with numerous applications. However, generating physically simulated animatio…
TeachingBot: Robot Teacher for Human Handwriting
Zhimin Hou, Cunjun Yu, David Hsu +1
Teaching and learning physical skills often require one-on-one interaction, making it difficult to scale up, as there are not enough human teachers. Robots offer an attractive alte…
What Truly Matters in Trajectory Prediction for Autonomous Driving?
Phong Tran, Haoran Wu, Cunjun Yu +3
Trajectory prediction plays a vital role in the performance of autonomous driving systems, and prediction accuracy, such as average displacement error (ADE) or final displacement e…
DiffMimic: Efficient Motion Mimicking with Differentiable Physics
Jiawei Ren, Cunjun Yu, Siwei Chen +3
Motion mimicking is a foundational task in physics-based character animation. However, most existing motion mimicking methods are built upon reinforcement learning (RL) and suffer…
COACH: Cooperative Robot Teaching
Cunjun Yu, Yiqing Xu, Linfeng Li +1
Knowledge and skills can transfer from human teachers to human students. However, such direct transfer is often not scalable for physical tasks, as they require one-to-one interact…