Prof. Robot: Differentiable Robot Rendering Without Static and Self-Collisions
Quanyuan Ruan, Jiabao Lei, Wenhao Yuan, Yanglin Zhang, Dekun Lu, Guiliang Liu, Kui Jia
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.
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Cited by top-tier papers2
- NeuROK: Generative 4D Neural Object KinematicsChen Geng, Guangzhao He, Yue Gao, Yunzhi Zhang et al.CVPR 2026 · 2 citations
- Visual-RRT: Finding Paths toward Visual-Goals via Differentiable RenderingSebin Lee, Jumin Lee, Taeyeon Kim, Youngju Na et al.CVPR 2026
Builds on15
- 3D Gaussian Splatting for Real-Time Radiance Field RenderingBernhard Kerbl, Georgios Kopanas, Thomas Leimkühler, George DrettakisSIGGRAPH 2023 · 5,687 citations
- NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view ReconstructionPeng Wang, Lingjie Liu, Yuan Liu, Christian Theobalt et al.NeurIPS 2021 · 2,500 citations
- Implicit Geometric Regularization for Learning ShapesAmos Gropp, Lior Yariv, Niv Haim, Matan Atzmon et al.ICML 2020 · 1,001 citations
- Soft Rasterizer: A Differentiable Renderer for Image-Based 3D ReasoningShichen Liu, Weikai Chen, Tianye Li, Hao LiICCV 2019 · 789 citations
- Escaping Plato's Cave: 3D Shape From Adversarial RenderingPhilipp Henzler, Niloy J. Mitra, Tobias RitschelICCV 2019 · 254 citations
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