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Shafeef Omar, Majid Khadiv ATARI Lab, Munich Insitute of This is the presentation movie in English Satoshi Hoshino and Kyohei Unuma, End-To-End Motion Planners through 2BY2 is a large-scale annotated dataset for everyday 3D assembly BEHAVIOR Challenge (NeurIPS 2025) Winner Deep Dive Recently, me and my teammates Gleb and Akash won 1st place in the ... The benchmark features 100 completely unique, hand-designed ICRA 2018 Spotlight Video Interactive Session Wed AM Pod T.2 Authors: Rahmatizadeh, Rouhollah; Abolghasemi, Pooya; Boloni, ...
Authors: Kamil Dreczkowski, Pietro Vitiello, Vitalis Vosylius, and Edward Johns Institution: The Authors: Norman Di Palo and Edward Johns Institution: The
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History
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Multi-Task Interactive Robot Fleet Learning with Visual World Models
Multi-Task Robot Control with SmolVLA (VLA Policy)
Multi-Task Reinforcement Learning for Quadrotors
ICCO: Learning an Instruction-conditioned Coordinator for Language-guided Task-aligned Multi-robot
Stanford Seminar - The Next Generation of Robot Learning
End-To-End Motion Planners through Multi-Task Learning for Mobile Robots with 2D LiDAR
[CVPR 2025]Two by Two:Learning Multi-Task Pairwise Objects Assembly for Robot Manipulation
How We Trained a Robot to Do 50 Household Tasks in Simulation (BEHAVIOR Challenge 1st place)
GNFactor: Multi-Task Real Robot Learning with Generalizable Neural Feature Fields
Vision-Based Multi-Task Manipulation for Inexpensive Robots Using End-To-End Learning from Demonstra
MLM: Learning Multi-task Loco-Manipulation Whole-Body Control for Quadruped Robot with Arm
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Last Updated: June 8, 2026
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