collaborators

5 papers

cs.RO2026

Belief-Aware Influence and Trust (BAIT): Shaping Human Belief During Repeated Human-Robot Interaction

Ye-Ji Mun, Mahsa Golchoubian, Shahabedin Sagheb +4

Repeated human-robot interaction (HRI) requires proactively accounting for humans who continually adapt to evolving beliefs about the robot. Prior frameworks often treat encounters…

cs.RO2026

Rethinking Gaussian Trajectory Predictors: Calibrated Uncertainty for Safe Planning

Fatemeh Cheraghi Pouria, Mahsa Golchoubian, Katherine Driggs-Campbell

Accurate trajectory prediction is critical for safe autonomous navigation in crowded environments. While many trajectory predictors output Gaussian distributions to represent the m…

cs.RO2026

Dynamics Distillation for Efficient and Transferable Control Learning

Xunjiang Gu, Kashyap Chitta, Mahsa Golchoubian +2

Robust control policy learning for autonomous driving requires training environments to be both physically realistic and computationally scalable, properties that existing simulato…

cs.HC2025

What are Social Norms for Low-speed Autonomous Vehicle Navigation in Crowded Environments? An Online Survey

Mahsa Golchoubian, Moojan Ghafurian, Nasser Lashgarian Azad +1

It has been suggested that autonomous vehicles can improve efficiency and safety of the transportation systems. While research in this area often focuses on autonomous vehicles whi…

cs.RO2025

Characterizing Structured versus Unstructured Environments based on Pedestrians' and Vehicles' Motion Trajectories

Mahsa Golchoubian, Moojan Ghafurian, Nasser Lashgarian Azad +1

Trajectory behaviours of pedestrians and vehicles operating close to each other can be different in unstructured compared to structured environments. These differences in the motio…