Human-AI Collaboration and Decision Making

Exploring frameworks for human-AI collaboration, with a focus on action-based communication and incorporating human expertise and preferences into autonomous decision-making processes.

  1. Dylan M. Asmar and Mykel J. Kochenderfer, Efficient Multiagent Planning via Shared Action Suggestions, AAAI Conference on Artificial Intelligence (AAAI), 2026.

  2. Marc R. Schlichting, Vale Rasmussen, Heba Alazzeh, Houjun Liu, Kiana Jafari Meimandi, Amelia F. Hardy, Dylan M. Asmar, and Mykel J. Kochenderfer, LeRAAT: LLM-Enabled Real-Time Aviation Advisory Tool, European Conference on Artificial Intelligence (ECAI), 2025.

  3. Dylan M. Asmar, Collaborative Multiagent Decision Making via Action Suggestions, Ph.D. dissertation, Stanford University, 2025.

  4. Dylan M. Asmar and Mykel J. Kochenderfer, Collaborative Decision Making Using Action Suggestions, Advances in Neural Information Processing Systems (NeurIPS), 2022.

  5. Oriana Peltzer, Dylan M. Asmar, Mac Schwager, and Mykel J. Kochenderfer, Incorporating Human Path Preferences in Robot Navigation with Minimal Interventions, arXiv, 2023.

Multiagent Planning and Coordination

Researching efficient planning and collaboration in multiagent systems with various applications including robotics, large-scale assembly, and airborne collision avoidance.

  1. Dylan M. Asmar and Mykel J. Kochenderfer, Efficient Multiagent Planning via Shared Action Suggestions, AAAI Conference on Artificial Intelligence (AAAI), 2026.

  2. Kyle Brown, Dylan M. Asmar, Mac Schwager, and Mykel J. Kochenderfer, Large-Scale Multi-Robot Assembly Planning for Autonomous Manufacturing, Robotics and Autonomous Systems, 2025.

  3. Dylan M. Asmar, Collaborative Multiagent Decision Making via Action Suggestions, Ph.D. dissertation, Stanford University, 2025.

  4. Dylan M. Asmar and Mykel J. Kochenderfer, Optimized Airborne Collision Avoidance in Mixed Equipage Environments, MIT Lincoln Laboratory, Project Report ATC-408, 2013.

  5. Dylan M. Asmar, Airborne Collision Avoidance in Mixed Equipage Environments, Master's thesis, Massachusetts Institute of Technology, 2013.

Healthcare Applications

Applying decision-making and optimization techniques to healthcare challenges.

  1. Isaac Ronald Ward, Dylan M. Asmar, Mansur Arief, Jana Krystofova Mike, and Mykel J. Kochenderfer, Optimal Control of Mechanical Ventilators with Learned Respiratory Dynamics, IEEE International Symposium on Computer-Based Medical Systems (CBMS), 2024.

  2. Ashley E. Hilton, Dylan M. Asmar, Lina M. Loza, Joshua Johnson, David J. Orlicky, Jamie S. Arruda, Lauren G. Rascoff, Juana A. Hutchinson-Colas, Marsha K. Guess, and Kathleen A. Connell, Microbiome Profile and Inflammatory Response in Women with Pelvic Organ Prolapse, AUGS PFD Week, 2024.

  3. Ashley E. Hilton, Dylan M. Asmar, Lea Savard, Juana A. Hutchinson-Colas, David J. Orlicky, Jamie S. Arruda, Lauren G. Rascoff, Marsha K. Guess, Joshua Johnson, Virginia L. Ferguson, and Kathleen A. Connell, Extracellular Matrix Remodeling in Uterosacral Ligaments: A Pilot Study Utilizing Raman Spectroscopy, International Urogynecology Association, 2024.

Flight Test and System Validation

Developing modern approaches to flight testing and system validation using data-driven methods and physics-informed models.

  1. D. Isaiah Harp, Joshua Ott, Dylan M. Asmar, John Alora, and Mykel J. Kochenderfer, Physics-Informed Gaussian Processes for Efficient Envelope Expansion, AIAA Journal of Aerospace Information Systems, 2026.

  2. D. Isaiah Harp, Joshua Ott, John Alora, and Dylan M. Asmar, A Data-Based Architecture for Flight Test without Test Points, Society of Experimental Test Pilots Annual Symposium, 2024.

  3. Joshua Ott, D. Isaiah Harp, John Alora, Dylan M. Asmar, and Mykel J. Kochenderfer, Physics Informed Gaussian Processes for Safe Envelope Expansion, Structural Priors as Inductive Biases for Learning Robot Dynamics Workshop, Robotics: Science and Systems (RSS), 2024.