Partially Observable Task and Motion Planning with Uncertainty and Risk
Awareness

Partially Observable Task and Motion Planning with Uncertainty and Risk Awareness

15 March 2024

Nishad Gothoskar

Vikash K. Mansinghka

Joshua Tenenbaum

Tomás Lozano-Pérez

Papers citing "Partially Observable Task and Motion Planning with Uncertainty and Risk Awareness"

8 / 8 papers shown

Title
LLM-Guided Probabilistic Program Induction for POMDP Model Estimation Aidan Curtis Hao Tang Thiago Veloso Kevin Ellis Joshua B. Tenenbaum Tomás Lozano-Pérez Leslie Pack Kaelbling 74 0 0 04 May 2025
QuestBench: Can LLMs ask the right question to acquire information in reasoning tasks? Belinda Z. Li Been Kim Z. Wang LRM 38 2 0 28 Mar 2025
VisualPredicator: Learning Abstract World Models with Neuro-Symbolic Predicates for Robot Planning Yichao Liang Nishanth Kumar Hao Tang Adrian Weller J. Tenenbaum Tom Silver Joao Henriques Kevin Ellis 45 8 0 30 Oct 2024
The State of Robot Motion Generation Kostas E. Bekris Joe Doerr Patrick Meng Sumanth Tangirala 3DV 36 2 0 16 Oct 2024
Hierarchical Hybrid Learning for Long-Horizon Contact-Rich Robotic Assembly Jiankai Sun Aidan Curtis Yang You Yan Xu Michael Koehle Leonidas J. Guibas Sachin Chitta Mac Schwager Hui Li 37 2 0 24 Sep 2024
Towards Practical Finite Sample Bounds for Motion Planning in TAMP Seiji Shaw Aidan Curtis L. Kaelbling Tomás Lozano-Pérez Nicholas Roy 25 1 0 24 Jul 2024
Discovering State and Action Abstractions for Generalized Task and Motion Planning Aidan Curtis Tom Silver J. Tenenbaum Tomas Lozano-Perez L. Kaelbling 35 27 0 23 Sep 2021
Long-Horizon Manipulation of Unknown Objects via Task and Motion Planning with Estimated Affordances Aidan Curtis Xiaolin Fang L. Kaelbling Tomás Lozano-Pérez Caelan Reed Garrett 146 63 0 09 Aug 2021