Evaluating Long-Horizon Robot Planning under Uncertainty
cs.RO
Submitted: 2026-10-12
Updated: 2026-10-12
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- Online Replanning in Belief Space for Partially Observable Task and Motion Problems
- ReAct: Synergizing Reasoning and Acting in Language Models
- Guiding Long-Horizon Task and Motion Planning with Vision Language Models
- Tru-POMDP: Task Planning Under Uncertainty via Tree of Hypotheses and Open-Ended POMDPs
- Embodied Agent Interface: Benchmarking LLMs for Embodied Decision Making
- Large-Language-Model-Guided State Estimation for Partially Observable Task and Motion Planning
- Actively Resolving Contextual Uncertainty for Underspecified Tasks in Natural Language
- Towards Reliable LLM-based Robot Planning via Combined Uncertainty Estimation
- Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
- ProgPrompt: Generating Situated Robot Task Plans using Large Language Models
- LLM+P: Empowering Large Language Models with Optimal Planning Proficiency
- On Evaluation of Embodied Navigation Agents
- EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents
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