Publications | Research

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IROS
Artificial Intelligence and Machine Learning

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2024

Interventional Data Generation for Robust and Data-Efficient Robot Imitation Learning

Ryan Hoque, Ajay Mandlekar, Caelan Garrett, Ken Goldberg, Dieter Fox

IROS

DiMSam: Diffusion Models as Samplers for Task and Motion Planning under Partial Observability

Xiaolin Fang, Caelan Garrett, Clemens Eppner, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Dieter Fox

IROS

Best Conference Paper Finalist
Best Student Paper Finalist

2023

Interpretable Trajectory Prediction for Autonomous Vehicles via Counterfactual Responsibility

Kai-Chieh Hsu, Karen Leung, Yuxiao Chen, Jaime Fernandez Fisac, Marco Pavone

IROS