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20152026
most citedHallucination Detection in Foundation Models for Decision-Making: A Flexible Definition and Review of the State of the Art

37 citations · 78 across the 76 of their papers we have counts for

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Showing 2025 · cs.ROShow all

7 papers · 2 filters

cs.RO2025

Reachable Predictive Control: A Novel Control Algorithm for Nonlinear Systems with Unknown Dynamics and its Practical Applications

Taha Shafa, Yiming Meng, Melkior Ornik

This paper proposes an algorithm capable of driving a system to follow a piecewise linear trajectory without prior knowledge of the system dynamics. Motivated by a critical failure…

cs.RO2025

Online Learning of Deceptive Policies under Intermittent Observation

Gokul Puthumanaillam, Ram Padmanabhan, Jose Fuentes +7

In supervisory control settings, autonomous systems are not monitored continuously. Instead, monitoring often occurs at sporadic intervals within known bounds. We study the problem…

cs.RO2025

Belief-Conditioned One-Step Diffusion: Real-Time Trajectory Planning with Just-Enough Sensing

Gokul Puthumanaillam, Aditya Penumarti, Manav Vora +5

Robots equipped with rich sensor suites can localize reliably in partially-observable environments, but powering every sensor continuously is wasteful and often infeasible. Belief-…

cs.RO2025

Enhancing Robot Navigation Policies with Task-Specific Uncertainty Managements

Gokul Puthumanaillam, Paulo Padrao, Jose Fuentes +2

Robots navigating complex environments must manage uncertainty from sensor noise, environmental changes, and incomplete information, with different tasks requiring varying levels o…

cs.RO2025

Characterizing the Robustness of Black-Box LLM Planners Under Perturbed Observations with Adaptive Stress Testing

Neeloy Chakraborty, John Pohovey, Melkior Ornik +1

Large language models (LLMs) have recently demonstrated success in decision-making tasks including planning, control, and prediction, but their tendency to hallucinate unsafe and u…

cs.RO2025

Motion Planning and Control with Unknown Nonlinear Dynamics through Predicted Reachability

Zhiquan Zhang, Gokul Puthumanaillam, Manav Vora +1

Autonomous motion planning under unknown nonlinear dynamics presents significant challenges. An agent needs to continuously explore the system dynamics to acquire its properties, s…