Self-Supervised Learning of Lidar Segmentation for Autonomous Indoor Navigation. - Hugues Thomas; Ben Agro; Mona Gridseth; Jian Zhang 050; Timothy D. Barfoot (ICRA, 2021)

Implicit Occupancy Flow Fields for Perception and Prediction in Self-Driving. - Ben Agro; Quinlan Sykora; Sergio Casas 002; Raquel Urtasun (CVPR, 2023)

Learning to Search in Task and Motion Planning With Streams. - Mohamed Khodeir; Ben Agro; Florian Shkurti (IEEE Robotics Autom. Lett., 2023)

UnO: Unsupervised Occupancy Fields for Perception and Forecasting. - Ben Agro; Quinlan Sykora; Sergio Casas 002; Thomas Gilles; Raquel Urtasun (CVPR, 2024)

DeTra: A Unified Model for Object Detection and Trajectory Forecasting. - Sergio Casas 002; Ben Agro; Jiageng Mao; Thomas Gilles; Alexander Cui; Thomas Li; Raquel Urtasun (ECCV (88), 2024)

QuAD: Query-based Interpretable Neural Motion Planning for Autonomous Driving. - Sourav Biswas 001; Sergio Casas 002; Quinlan Sykora; Ben Agro; Abbas Sadat; Raquel Urtasun (ICRA, 2024)

Toward Globally Optimal State Estimation Using Automatically Tightened Semidefinite Relaxations. - Frederike Dümbgen; Connor Holmes; Ben Agro; Timothy D. Barfoot (IEEE Trans. Robotics, 2024)

MAD: Memory-Augmented Detection of 3D Objects. - Ben Agro; Sergio Casas 002; Patrick Wang; Thomas Gilles; Raquel Urtasun (CVPR, 2025)

DIO: Decomposable Implicit 4D Occupancy-Flow World Model. - Christopher Diehl; Quinlan Sykora; Ben Agro; Thomas Gilles; Sergio Casas 002; Raquel Urtasun (CVPR, 2025)