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Recent works in the robot learning community have successfully introduced generalist models capable of controlling various robot embodiments across a wide range of tasks, such as navigation and locomotion.
“KLD-Sampling: Adaptive Particle Filters”
Dieter Fox · 2001
Earlier work this paper cites.
“Aggressive driving with model predictive path integral control”
Grady Williams et al · 2016
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“A Generalized Extended Kalman Filter Implementation for the Robot Operating System”
Thomas Moore and Daniel Stouch · 2016
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“Attention is All you Need”
Ashish Vaswani et al · 2017
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“Information theoretic MPC for model-based reinforcement learning”
Grady Williams et al · 2017
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“Learning Model Predictive Control for Iterative Tasks. A Data-Driven Control Framework” Conference Name: IEEE Transactions on Automatic Control
Ugo Rosolia and Francesco Borrelli · 2017
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“The Marathon 2: A Navigation System” arXiv:2003.00368 [cs]
Steve Macenski, Francisco Martín, Ruffin White and Jonatanés Clavero · 2020
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“An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale”, 2020
Alexey Dosovitskiy et al · 2020
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“SLAM Toolbox: SLAM for the dynamic world”
Steve Macenski and Ivona Jambrecic · 2021
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“Offline Reinforcement Learning as One Big Sequence Modeling Problem”
Michael Janner, Qiyang Li and Sergey Levine · 2021
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“Transformers for modeling physical systems”
Nicholas Geneva and Nicholas Zabaras · 2021
Earlier work this paper cites.
“RMA: Rapid Motor Adaptation for Legged Robots” arXiv:2107.04034 [cs]
Ashish Kumar, Zipeng Fu, Deepak Pathak and Jitendra Malik · 2021
Earlier work this paper cites.
“Neural-Fly enables rapid learning for agile flight in strong winds” Publisher: American Association for the Advancement of Science
Michael O’Connell et al · 2022
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“Predictive Sampling: Real-time Behaviour Synthesis with MuJoCo” arXiv:2212.00541 [cs, eess]
Taylor Howell et al · 2022
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“Visual Instruction Tuning”, 2023
Haotian Liu, Chunyuan Li, Qingyang Wu and Yong Lee · 2023
Cited alongside, same era.
Sean. Wang, Honghao Zhu and Aaron. Johnson · 2023
Cited alongside, same era.
“Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware”
Tony Zhao, Vikash Kumar, Sergey Levine and Chelsea Finn · 2023
Cited alongside, same era.
“ViNT: A Foundation Model for Visual Navigation”
Dhruv Shah et al · 2023
Cited alongside, same era.
“RT-1: Robotics Transformer for Real-World Control at Scale”
Anthony Brohan et al · 2023
Cited alongside, same era.
“Learning Human-to-Humanoid Real-Time Whole-Body Teleoperation” arXiv:2403.04436 [cs, eess]
Tairan He et al · 2024
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“Learning Model Predictive Control with Error Dynamics Regression for Autonomous Racing”
Haoru Xue, Edward. Zhu, John. Dolan and Francesco Borrelli · 2024
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“RACER: Epistemic Risk-Sensitive RL Enables Fast Driving with Fewer Crashes” arXiv:2405.04714 [cs]
Kyle Stachowicz and Sergey Levine · 2024
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Matthew Sivaprakasam et al · 2024
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“Safe Deep Policy Adaptation”
Wenli Xiao, Tairan He, John Dolan and Guanya Shi · 2024
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Brianna Zitkovich et al · 2023
Cited alongside, same era.
“Real-Time Neural MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms” Conference Name: IEEE Robotics and Automation Letters
Tim Salzmann et al · 2023
Cited alongside, same era.
“stereolabs/zed-ros2-wrapper” original-date: 2019-04-12T14:23:46Z
“Stereolabs“ · 2024
Cited alongside, same era.
“Beyond A*: Better Planning with Transformers via Search Dynamics Bootstrapping”, 2024
Lucas Lehnert et al · 2024
Cited alongside, same era.
“Decision transformer: reinforcement learning via sequence modeling”
Lili Chen et al · 2024
Cited alongside, same era.
“Humanoid Locomotion as Next Token Prediction” arXiv:2402.19469 [cs]
Ilija Radosavovic et al · 2024
Cited alongside, same era.
“Open-TeleVision: Teleoperation with Immersive Active Visual Feedback” arXiv:2407.01512 [cs]
Xuxin Cheng et al · 2024
Cited alongside, same era.
“Adaptive Planning and Control with Time-Varying Tire Models for Autonomous Racing Using Extreme Learning Machine”
Dvij Kalaria, Qin Lin and John. Dolan · 2024
Closest in time.
Ria Doshi et al · 2024
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Jonathan Yang et al · 2024
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“Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration0”
Abby O’Neill et al · 2024
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“Octo: An Open-Source Generalist Robot Policy” arXiv:2405.12213 [cs]
Octo Team et al · 2024
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“A Simulation Benchmark for Autonomous Racing with Large-Scale Human Data” arXiv:2407.16680 [cs]
Adrian Remonda et al · 2024
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Zeji Yi et al · 2024
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“google/jax” original-date: 2018-10-25T21:25:02Z
James Bradbury et al · 2024
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