6 citations · 13 across the 13 of their papers we have counts for
13 papers
Optimizing Task Completion Time Updates Using POMDPs
Duncan Eddy, Esen Yel, Emma Passmore +4
Managing announced task completion times is a fundamental control problem in project management. While extensive research exists on estimating task durations and task scheduling, t…
Learning to Trust: Bayesian Adaptation to Varying Suggester Reliability in Sequential Decision Making
Dylan M. Asmar, Mykel J. Kochenderfer
Autonomous agents operating in sequential decision-making tasks under uncertainty can benefit from external action suggestions, which provide valuable guidance but inherently vary…
Aircraft Collision Avoidance Systems: Technological Challenges and Solutions on the Path to Regulatory Acceptance
Sydney M. Katz, Robert J. Moss, Dylan M. Asmar +3
Aircraft collision avoidance systems is critical to modern aviation. These systems are designed to predict potential collisions between aircraft and recommend appropriate avoidance…
A Data-Based Architecture for Flight Test without Test Points
D. Isaiah Harp, Joshua Ott, John Alora +1
The justification for the "test point" derives from the test pilot's obligation to reproduce faithfully the pre-specified conditions of some model prediction. Pilot deviation from…
LeRAAT: LLM-Enabled Real-Time Aviation Advisory Tool
Marc R. Schlichting, Vale Rasmussen, Heba Alazzeh +5
In aviation emergencies, high-stakes decisions must be made in an instant. Pilots rely on quick access to precise, context-specific information -- an area where emerging tools like…
Physics-informed Gaussian Processes for Safe Envelope Expansion
D. Isaiah Harp, Joshua Ott, Dylan M. Asmar +2
Flight test analysis often requires predefined test points with arbitrarily tight tolerances, leading to extensive and resource-intensive experimental campaigns. To address this ch…
More than Marketing? On the Information Value of AI Benchmarks for Practitioners
Amelia Hardy, Anka Reuel, Kiana Jafari Meimandi +6
Public AI benchmark results are widely broadcast by model developers as indicators of model quality within a growing and competitive market. However, these advertised scores do not…
Efficient Multiagent Planning via Shared Action Suggestions
Dylan M. Asmar, Mykel J. Kochenderfer
Decentralized partially observable Markov decision processes with communication (Dec-POMDP-Com) provide a framework for multiagent decision making under uncertainty, but the NEXP-c…
Optimal Control of Mechanical Ventilators with Learned Respiratory Dynamics
Isaac Ronald Ward, Dylan M. Asmar, Mansur Arief +2
Deciding on appropriate mechanical ventilator management strategies significantly impacts the health outcomes for patients with respiratory diseases. Acute Respiratory Distress Syn…
Large-Scale Multi-Robot Assembly Planning for Autonomous Manufacturing
Kyle Brown, Dylan M. Asmar, Mac Schwager +1
Mobile autonomous robots have the potential to revolutionize manufacturing processes. However, employing large robot fleets in manufacturing requires addressing challenges includin…
Incorporating Human Path Preferences in Robot Navigation with Minimal Interventions
Oriana Peltzer, Dylan M. Asmar, Mac Schwager +1
Robots that can effectively understand human intentions from actions are crucial for successful human-robot collaboration. In this work, we address the challenge of a robot navigat…
Collaborative Decision Making Using Action Suggestions
Dylan M. Asmar, Mykel J. Kochenderfer
The level of autonomy is increasing in systems spanning multiple domains, but these systems still experience failures. One way to mitigate the risk of failures is to integrate huma…
Model Predictive Optimized Path Integral Strategies
Dylan M. Asmar, Ransalu Senanayake, Shawn Manuel +1
We generalize the derivation of model predictive path integral control (MPPI) to allow for a single joint distribution across controls in the control sequence. This reformation all…