Overview

Belief-space planning studies how to act when an agent cannot directly observe the true state, as in robot navigation, manipulation, search, and autonomous driving. Methods maintain beliefs with Bayesian filters or learned latent, symbolic, and spatial world models, then plan using tools such as Monte Carlo tree search, model-predictive control, and trajectory trees. Many approaches choose actions not only for immediate progress but also for the information they reveal, while risk-sensitive and safety-certified planners constrain possible failures. A central challenge is making these beliefs accurate and decision-relevant without making online planning too costly; learned models can scale to complex settings, but reliable calibration and formal guarantees remain difficult.

Latest papers

CardsList

65 papers13 papers in the last four weeks, up 18% on the four weeks before. 0.1% of all new papers.

  1. Failure Recovery via Belief Updates and World Modeling for Long-Horizon Agents

    Oct 13, 2026Xiyang Wu, Zhichao Liu, Shengxin zhang +4Long-Horizon LLM AgentsLong-Horizon Reasoning

  2. Belief Space Planning for Risk Signal Temporal Logic via Mixed-Integer Convex Programming

    Oct 12, 2026Shaohang Han, Joris Verhagen, Kaier Liang +1Belief-Space PlanningSTL Planning

  3. Have You Seen It Clearly? Uncertainty-Guided Belief Refinement for Zero-Shot Object Navigation

    Oct 11, 2026Jingzhi Huang, Junkai Huang, Yuhang Peng +6Robot NavigationObject-Goal Navigation

  4. Belief Embedding Tree Search

    Oct 10, 2026Christopher Solinas, Radovan Haluška, Martin Schmid +3Partially Observable RLBelief-Space Planning

  5. Belief-Overlap Partial Inversion: Object-Centric Flow Replanning for Humanoid Loco-Manipulation

    Oct 9, 2026Chen Yu, Sudarshan S Harithas, Juan Borbon +2Robotic Object PushingHumanoid Loco-Manipulation

  6. Belief-Space Planning with Planner-Conditioned Estimator Error under Intermittent Observations

    Oct 6, 2026Peter M. Donley, Joseph L. MooreBelief-Space PlanningRobot State Estimation

  7. Belief-Informed Hybrid Control with Almost-Sure Target-Set Convergence

    Oct 6, 2026Clinton Enwerem, Saleh Kemal, John S. Baras +1Belief-Space PlanningAdaptive Control

  8. Entropy-Gated Belief Coordination for Decentralized Multi-Agent Search Under Intermittent Communication

    Oct 5, 2026Mohamed Abdelnaby, Kevin LeahyBelief-Space PlanningMulti-Agent Coordination

  9. Ego2World: Compiling Egocentric Cooking Videos into Executable Worlds for Belief-State Planning

    Oct 2, 2026Qinchuan Cheng, Zhantao Gong, Pengzhan Sun +2AI Agent BenchmarksBelief-Space Planning

  10. BLT*: Informed Belief Localization Trees for Uncertainty-Aware Planning on Digital Twins

    Oct 1, 2026Elliot Preston-Krebs, Abhishek Goudar, Timothy D. BarfootBelief-Space PlanningDigital Twins

  11. Belief-Aware Multi-Agent Path Finding under Map Uncertainty

    Sep 30, 2026Viraj Parimi, Shao-Hung Chan, Han Zhang +2Belief-Space PlanningGaussian Belief Propagation

  12. Belief-Based Maximum Occupancy Principle and Active Inference

    Sep 30, 2026Manolis Mylonas, Rubén Moreno BoteBelief-Space PlanningIntrinsic Reward Methods

  13. Beyond the Remembered World: Predictive 4D Belief for Persistent Navigation in Evolving Worlds

    Sep 30, 2026Mingjian Gao, Zhaocheng Li, Haoyang Huang +7Belief-Space PlanningEmbodied Navigation

  14. Risk-Averse Online POMDP Planning via CVaR of the Immediate Cost with Performance Guarantees

    Sep 26, 2026Yaacov Pariente, Vadim IndelmanRisk-Sensitive PlanningPartially Observable Markov Decision Processes

  15. AquaMend: Minimal Re-probing and Conditional Rollback for Latent-Belief Failures in Embodied Agents

    Sep 24, 2026Yufan Liu, Shang Luo, Yang Liu +9Belief-Space PlanningAI Agent Reliability

  16. Spatial-Semantic Uncertainty in VLM-Based Target Search: Balancing Exploration and Identification

    Sep 17, 2026Alkesh K. Srivastava, Jonathan Diller, Vijay Kumar +1Belief-Space PlanningVision-Language Models

  17. Imagine-TAMP: Imagination-Guided Task and Motion Planning in Partial Observability

    Sep 17, 2026Antareep Singha, Shivaram Kumar, Yoonwoo Kim +1Belief-Space PlanningActive Perception

  18. Bridging Learned Visual Perception and Symbolic Belief-Space Planning

    Sep 15, 2026Guy Azran, Michael Navat, Sarah KerenBelief-Space PlanningSymbolic Planning

  19. Belief-State Engine: Augmenting LLMs for Principled Planning Under Partial Observability

    Sep 9, 2026Arnab Chattopadhayay, Debdipta HalderBelief-Space PlanningLLM Agents

  20. Map the Possibilities: Spatial Belief Fields for Language-Goal Aerial Navigation

    Sep 5, 2026Haotian Xu, Yue Hu, Zhengqiu Zhu +3Aerial VLNVisual Navigation

  21. Scalable Rao-Blackwellized Online Planning for High-Dimensional POMDPs

    Sep 1, 2026Jiho Lee, Nisar Ahmed, Kyle Hollins Wray +1Belief-Space PlanningPartially Observable Markov Decision Processes

  22. Towards a Belief-Based World Model for LLM Agents

    Aug 31, 2026Shubham Kumar, Harshit Kumar, Narendra Ahuja +1Belief-Space PlanningPartially Observable RL

  23. POMDPs for Autonomous Science Exploration

    Aug 4, 2026Daniel Guirguis, Nathan Wallace, Hanna Kurniawati +1Belief-Space PlanningAI for Science

  24. NeSyFS: A Neuro-symbolic Fast-Slow Thinking Framework for LLM Agent under Partial Observability

    Jul 31, 2026Duo Xu, Faramarz FekriBelief-Space PlanningLLM Agents

  25. Merging Reaction to Cognition: A Hybrid Cognitive Strategy for Odour Source Localisation in Natural Environments

    Jul 15, 2026Hugo Magalhães, Rui Baptista, Lino MarquesBelief-Space PlanningRobot Navigation

  26. Interleaved POMDP Planning for Multi-Object Search in Unknown Multi-Room Household Environments

    Jul 11, 2026Ruochu Yang, Ziyi Xia, Huibo Zhang +6Belief-Space PlanningPartially Observable Markov Decision Processes

  27. QANTIS: Hardware-Calibrated Sequential POMDP Belief Updates on IBM Heron

    Jul 7, 2026Bayram Yuksel Eker, Suayb S. Arslan, Ozgur Nazli +2Belief-Space PlanningBayesian Filtering