Lune

CVPR2025Top-tier venue

Prof. Robot: Differentiable Robot Rendering Without Static and Self-Collisions

Quanyuan Ruan, Jiabao Lei, Wenhao Yuan, Yanglin Zhang, Dekun Lu, Guiliang Liu, Kui Jia

2025Year
2Top-tier citations

Abstract

STATIC COLLISION SELF COLLISION DR. ROBOT PROF. ROBOT (OURS) DR. ROBOT PROF. ROBOT (OURS) Figure 1. Our method improves upon Dr.Robot [32] by additionally enabling differentiable avoidance of static and self-collisions. By learning and integrating a gradient-consistent pose classifier into a differentiable rendering pipeline, the generated pose trajectories are free from physical collisions. The objective is to penalize high collision probabilities during optimization. On the left, our method can push robotic arms away from intersecting objects. On the right, it can also avoid self-collisions. Images are rendered using Blender with meshes.

Ask about this paper

Your agent reads all of it.

Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.

Questions to start from

Your agent calls

Luneget_paper_fulltext

Ask in Lune

Free to start. No credit card required.

Cited by top-tier papers2

Ask how each one uses it

Builds on15

Related papers

Dusk over the sea between two cliffs drawn in fine vertical lines