Stochastic Implicit Neural Signed Distance Functions for Safe Motion
Planning under Sensing Uncertainty

Stochastic Implicit Neural Signed Distance Functions for Safe Motion Planning under Sensing Uncertainty

28 September 2023

Carlos Quintero-Peña

Wil Thomason

Anastasios Kyrillidis

Lydia E. Kavraki

Papers citing "Stochastic Implicit Neural Signed Distance Functions for Safe Motion Planning under Sensing Uncertainty"

9 / 9 papers shown

Title
Foam: A Tool for Spherical Approximation of Robot Geometry Sai Coumar Gilbert Chang Nihar Kodkani Zachary Kingston 63 0 0 17 Mar 2025
Neural Configuration-Space Barriers for Manipulation Planning and Control Kehan Long Ki Myung Brian Lee Nikola Raicevic Niyas Attasseri Melvin Leok Nikolay Atanasov 74 0 0 06 Mar 2025
Efficient Collision Detection Framework for Enhancing Collision-Free Robot Motion Xiankun Zhu Yucheng Xin Shoujie Li Houde Liu Chongkun Xia Bin Liang 33 2 0 23 Sep 2024
Distributionally Robust RRT with Risk Allocation Kajsa Ekenberg Venkatraman Renganathan Björn Olofsson 16 3 0 17 Sep 2022
Learning Multi-Object Dynamics with Compositional Neural Radiance Fields Danny Driess Zhiao Huang Yunzhu Li Russ Tedrake Marc Toussaint OCL AI4CE 122 85 0 24 Feb 2022
UncertaINR: Uncertainty Quantification of End-to-End Implicit Neural Representations for Computed Tomography Francisca Vasconcelos Bobby He Nalini Singh Yee Whye Teh BDL OOD UQCV 37 12 0 22 Feb 2022
Learning Models as Functionals of Signed-Distance Fields for Manipulation Planning Danny Driess Jung-Su Ha Marc Toussaint Russ Tedrake 119 63 0 02 Oct 2021
Vision-Only Robot Navigation in a Neural Radiance World M. Adamkiewicz Timothy Chen Adam Caccavale Rachel Gardner Preston Culbertson Jeannette Bohg Mac Schwager 171 230 0 01 Oct 2021
DEUP: Direct Epistemic Uncertainty Prediction Salem Lahlou Moksh Jain Hadi Nekoei V. Butoi Paul Bertin Jarrid Rector-Brooks Maksym Korablyov Yoshua Bengio PER UQLM UQCV UD 212 81 0 16 Feb 2021