7 citations · 7 across the 11 of their papers we have counts for
6 papers · 1 filter
Efficient Differentiable Contact Model with Long-range Influence
Xiaohan Ye, Kui Wu, Zherong Pan +1
With the maturation of differentiable physics, its role in various downstream applications: such as model predictive control, robotic design optimization, and neural PDE solvers, h…
Language-Guided Generation for Personalized Inspection Planning
Xingpeng Sun, Zherong Pan, Xifeng Gao +2
We propose a training-free, Vision-Language Model (VLM)-guided approach for efficiently generating trajectories to facilitate target inspection planning based on text descriptions.…
SDRS: Shape-Differentiable Robot Simulator
Xiaohan Ye, Xifeng Gao, Kui Wu +2
Robot simulators are indispensable tools across many fields, and recent research has significantly improved their functionality by incorporating additional gradient information. Ho…
Learning Neural Traffic Rules
Xuan Zhang, Xifeng Gao, Kui Wu +1
Extensive research has been devoted to the field of multi-agent navigation. Recently, there has been remarkable progress attributed to the emergence of learning-based techniques wi…
Learning Reduced-Order Soft Robot Controller
Chen Liang, Xifeng Gao, Kui Wu +1
Deformable robots are notoriously difficult to model or control due to its high-dimensional configuration spaces. Direct trajectory optimization suffers from the curse-of-dimension…
Second-Order Convergent Collision-Constrained Optimization-Based Planner
Chen Liang, Xifeng Gao, Kui Wu +1
Finding robot poses and trajectories represents a foundational aspect of robot motion planning. Despite decades of research, efficiently and robustly addressing these challenges is…