Regularized Deep Signed Distance Fields for Reactive Motion Generation

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Regularized Deep Signed Distance Fields for Reactive Motion Generation

9 March 2022

Puze Liu

Jan Peters

Georgia Chalvatzaki

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Papers citing "Regularized Deep Signed Distance Fields for Reactive Motion Generation"

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Title
RNBF: Real-Time RGB-D Based Neural Barrier Functions for Safe Robotic Navigation Satyajeet Das Yifan Xue Haoming Li Nadia Figueroa 122 0 0 04 May 2025
Motion planning for highly-dynamic unconditioned reflexes based on chained Signed Distance Functions Ken Lin Qi Ye Tin Lun Lam Zhibin Li Jiming Chen Gaofeng Li 126 0 0 15 Feb 2025
Generalizable Motion Planning via Operator Learning Sharath Matada Luke Bhan Yuanyuan Shi Nikolay Atanasov 138 0 0 23 Oct 2024
Multi-Agent Obstacle Avoidance using Velocity Obstacles and Control Barrier Functions Alejandro Sánchez Roncero Rafael I. Cabral Muchacho Petter Ogren 105 2 0 16 Sep 2024
Adaptive Distance Functions via Kelvin Transformation Rafael I. Cabral Muchacho Florian T. Pokorny 114 2 0 05 Jun 2024
Reach For the Spheres: Tangency-Aware Surface Reconstruction of SDFs Silvia Sellán Christopher Peter Batty Oded Stein 55 17 0 18 Aug 2023
Hierarchical Policy Blending As Optimal Transport An T. Le Kay Hansel Jan Peters Georgia Chalvatzaki OT 105 7 0 04 Dec 2022
Safe Reinforcement Learning of Dynamic High-Dimensional Robotic Tasks: Navigation, Manipulation, Interaction Puze Liu Kuo Zhang Davide Tateo Snehal Jauhri Zhiyuan Hu Jan Peters Georgia Chalvatzaki 109 18 0 27 Sep 2022
SE(3)-DiffusionFields: Learning smooth cost functions for joint grasp and motion optimization through diffusion Julen Urain Niklas Funk Jan Peters Georgia Chalvatzaki DiffM 157 127 0 08 Sep 2022
OccuSeg: Occupancy-aware 3D Instance Segmentation Lei Han Tian Zheng Lan Xu Lu Fang 3DPC 257 261 0 14 Mar 2020