CoRL

Human-like Navigation in a World Built for Humans

Bhargav Chandaka, Gloria X. Wang, Haozhe Chen, Henry Che, Albert J. Zhai, Shenlong Wang

机构 * University of Illinois Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校） 纠错

Comments CoRL 2025. Project website: https://reasonnav.github.io/

Selective Progress-Aware Querying for Human-in-the-Loop Reinforcement Learning

Anujith Muraleedharan, Anamika J H

Comments Preprint. 8 pages, 3 figures, 1 table, 1 algorithm. CoRL 2025 style (preprint). Code/data to be released

Streaming Flow Policy: Simplifying diffusion/flow-matching policies by treating action trajectories as flow trajectories

Sunshine Jiang, Xiaolin Fang, Nicholas Roy, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Siddharth Ancha

机构 * Massachusetts Institute of Technology（麻省理工学院） 纠错

Comments Conference on Robot Learning (CoRL) 2025

Real-Time Out-of-Distribution Failure Prevention via Multi-Modal Reasoning

Milan Ganai, Rohan Sinha, Christopher Agia, Daniel Morton, Luigi Di Lillo, Marco Pavone

机构 * Stanford University（斯坦福大学） ； Swiss Re（瑞士再保险集团） ； NVIDIA Research（NVIDIA研究） 纠错

Comments Conference on Robot Learning (CoRL) 2025 (Oral)

AnyPlace: Learning Generalized Object Placement for Robot Manipulation

Yuchi Zhao, Miroslav Bogdanovic, Chengyuan Luo, Steven Tohme, Kourosh Darvish, Alán Aspuru-Guzik, Florian Shkurti, Animesh Garg

机构 * University of Toronto（多伦多大学） ； Vector Institute（向量研究所） ； Shanghai Jiao Tong University（上海交通大学） ； Wilfrid Laurier University（威尔弗里德·劳里埃大学） ； Acceleration Consortium（加速联盟） ； Georgia Institute of Technology（佐治亚理工学院） 纠错

Comments Accepted at CoRL 2025