activity
20242026
collaborators

6 papers

eess.SY2026

A Taxonomy and Review of Algorithms for Modeling and Predicting Human Driver Behavior

Raunak P. Bhattacharyya, Kyle Brown, Juanran Wang +2

An open problem in autonomous driving research is modeling human driving behavior, which is needed for the planning component of the autonomy stack, safety validation through traff…

cs.LG2025

Inferring Traffic Models in Terminal Airspace from Flight Tracks and Procedures

Soyeon Jung, Amelia Hardy, Mykel J. Kochenderfer

Realistic aircraft trajectory models are useful in the design and validation of air traffic management (ATM) systems. Models of aircraft operated under instrument flight rules (IFR…

cs.RO2024

Capability-aware Task Allocation and Team Formation Analysis for Cooperative Exploration of Complex Environments

Muhammad Fadhil Ginting, Kyohei Otsu, Mykel J. Kochenderfer +1

To achieve autonomy in complex real-world exploration missions, we consider deployment strategies for a team of robots with heterogeneous autonomy capabilities. In this work, we fo…

cs.LG2024

Bayesian Safety Validation for Failure Probability Estimation of Black-Box Systems

Robert J. Moss, Mykel J. Kochenderfer, Maxime Gariel +1

Estimating the probability of failure is an important step in the certification of safety-critical systems. Efficient estimation methods are often needed due to the challenges pose…

cs.RO2024

Risk-aware Meta-level Decision Making for Exploration Under Uncertainty

Joshua Ott, Sung-Kyun Kim, Amanda Bouman +6

Robotic exploration of unknown environments is fundamentally a problem of decision making under uncertainty where the robot must account for uncertainty in sensor measurements, loc…

cs.RO2024

Scene Informer: Anchor-based Occlusion Inference and Trajectory Prediction in Partially Observable Environments

Bernard Lange, Jiachen Li, Mykel J. Kochenderfer

Navigating complex and dynamic environments requires autonomous vehicles (AVs) to reason about both visible and occluded regions. This involves predicting the future motion of obse…