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In the rapidly advancing field of robotics, dual-arm coordination and complex object manipulation are essential capabilities for developing advanced autonomous systems.
Alvinn: An autonomous land vehicle in a neural network
Dean A Pomerleau · 1989
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Learning structured output representation using deep conditional generative models
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Attention is all you need
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Deep imitation learning for complex manipulation tasks from virtual reality teleoperation
Tianhao Zhang, Zoe McCarthy, Owen Jow, Dennis Lee, Xi Chen, Ken Goldberg, and Pieter Abbeel · 2018
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Stephen James, Zicong Ma, David Rovick Arrojo, and Andrew J Davison · 2020
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Offline reinforcement learning: Tutorial, review, and perspectives on open problems
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Transporter networks: Rearranging the visual world for robotic manipulation
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Bridge data: Boosting generalization of robotic skills with cross-domain datasets
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Bc-z: Zero-shot task generalization with robotic imitation learning
Eric Jang, Alex Irpan, Mohi Khansari, Daniel Kappler, Frederik Ebert, Corey Lynch, Sergey Levine, and Chelsea Finn · 2021
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Mt-opt: Continuous multi-task robotic reinforcement learning at scale
Dmitry Kalashnikov, Jacob Varley, Yevgen Chebotar, Benjamin Swanson, Rico Jonschkowski, Chelsea Finn, Sergey Levine, and Karol Hausman · 2021
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A workflow for offline model-free robotic reinforcement learning
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Do as i can, not as i say: Grounding language in robotic affordances
Michael Ahn, Anthony Brohan, Noah Brown, Yevgen Chebotar, Omar Cortes, Byron David, Chelsea Finn, Keerthana Gopalakrishnan, Karol Hausman, Alex Herzog, et al · 2022
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Bc-z: Zero-shot task generalization with robotic imitation learning
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Planning with diffusion for flexible behavior synthesis
Michael Janner, Yilun Du, Joshua B Tenenbaum, and Sergey Levine · 2022
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Pre-training for robots: Offline rl enables learning new tasks from a handful of trials
Aviral Kumar, Anikait Singh, Frederik Ebert, Mitsuhiko Nakamoto, Yanlai Yang, Chelsea Finn, and Sergey Levine · 2022
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Learning to denoise raw mobile ui layouts for improving datasets at scale
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Calvin: A benchmark for language-conditioned policy learning for long-horizon robot manipulation tasks
Oier Mees, Lukas Hermann, Erick Rosete-Beas, and Wolfram Burgard · 2022
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High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
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Is conditional generative modeling all you need for decision making?
Anurag Ajay, Yilun Du, Abhi Gupta, Joshua B Tenenbaum, Tommi S Jaakkola, and Pulkit Agrawal · 2023
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Affordances from human videos as a versatile representation for robotics
Shikhar Bahl, Russell Mendonca, Lili Chen, Unnat Jain, and Deepak Pathak · 2023
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Learning fine-grained bimanual manipulation with low-cost hardware
Tony Z Zhao, Vikash Kumar, Sergey Levine, and Chelsea Finn · 2023
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Aloha 2: An enhanced low-cost hardware for bimanual teleoperation
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Open-television: Teleoperation with immersive active visual feedback
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Bigym: A demo-driven mobile bi-manual manipulation benchmark
Nikita Chernyadev, Nicholas Backshall, Xiao Ma, Yunfan Lu, Younggyo Seo, and Stephen James · 2024
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Maniskill2: A unified benchmark for generalizable manipulation skills
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Benchmarking offline reinforcement learning on real-robot hardware
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Voxposer: Composable 3d value maps for robotic manipulation with language models
Wenlong Huang, Chen Wang, Ruohan Zhang, Yunzhu Li, Jiajun Wu, and Li Fei-Fei · 2023
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Robocasa: Large-scale simulation of everyday tasks for generalist robots
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Adversarial diffusion distillation
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Humanoidbench: Simulated humanoid benchmark for whole-body locomotion and manipulation
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Maniskill3: Gpu parallelized robotics simulation and rendering for generalizable embodied ai
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Yanjie Ze, Gu Zhang, Kangning Zhang, Chenyuan Hu, Muhan Wang, and Huazhe Xu · 2024
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Cordvip: Correspondence-based visuomotor policy for dexterous manipulation in real-world, 2025
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Avr: Active vision-driven robotic precision manipulation with viewpoint and focal length optimization, 2025
Yushan Liu, Shilong Mu, Xintao Chao, Zizhen Li, Yao Mu, Tianxing Chen, Shoujie Li, Chuqiao Lyu, Xiao ping Zhang, and Wenbo Ding · 2025
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