Open-TeleVision: Teleoperation with Immersive Active Visual Feedback
On the map: Offline RL and imitation learning from data → Robot manipulation imitation learning
Abstract (arXiv)
Teleoperation serves as a powerful method for collecting on-robot data essential for robot learning from demonstrations. The intuitiveness and ease of use of the teleoperation system are crucial for ensuring high-quality, diverse, and scalable data. To achieve this, we propose an immersive teleoperation system Open-TeleVision that allows operators to actively perceive the robot's surroundings in a stereoscopic manner. Additionally, the system mirrors the operator's arm and hand movements on the robot, creating an immersive experience as if the operator's mind is transmitted to a robot embodiment. We validate the effectiveness of our system by collecting data and training imitation learning policies on four long-horizon, precise tasks (Can Sorting, Can Insertion, Folding, and Unloading) for 2 different humanoid robots and deploy them in the real world. The system is open-sourced at: https://robot-tv.github.io/
Key facts. Cited by 145 papers in the map (data through 14 Oct 2026). Placed in Robot manipulation imitation learning, one of 13 directions in Offline RL and imitation learning from data. Builds on 61 of its 82 references that are in the map. First posted on arXiv 1 Jul 2024.
Builds on
61 of 82 references.
Closest ancestors · 9
Same direction, newest first
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- 2024Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation4 Jan
- 2023GELLO: A General, Low-Cost, and Intuitive Teleoperation Framework for Robot Manipulators22 Sep
- 2023Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware23 Apr
- 2023MimicPlay: Long-Horizon Imitation Learning by Watching Human Play24 Feb
- 2022From One Hand to Multiple Hands: Imitation Learning for Dexterous Manipulation from Single-Camera Teleoperation26 Apr
- 2021The Surprising Effectiveness of Representation Learning for Visual Imitation2 Dec
Other references · 52
- 2015Deep Residual Learning for Image Recognitioncited by 52,096
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- 2021RMA: Rapid Motor Adaptation for Legged Robotscited by 508
- 2024Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robotscited by 394
- 2020Learning Agile Robotic Locomotion Skills by Imitating Animalscited by 251
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- 2023Extreme Parkour with Legged Robotscited by 164
- 2022Human-to-Robot Imitation in the Wildcited by 161
- 2023AnyTeleop: A General Vision-Based Dexterous Robot Arm-Hand Teleoperation Systemcited by 152
- 2022Legged Locomotion in Challenging Terrains using Egocentric Visioncited by 151
- 2023Robot Parkour Learningcited by 149
- 2023Structured World Models from Human Videoscited by 147
- 2024Expressive Whole-Body Control for Humanoid Robotscited by 139
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- 2024Yell At Your Robot: Improving On-the-Fly from Language Correctionscited by 124
- 2022Deep Whole-Body Control: Learning a Unified Policy for Manipulation and Locomotioncited by 121
- 2021Reinforcement Learning for Robust Parameterized Locomotion Control of Bipedal Robotscited by 116
- 2019DexPilot: Vision Based Teleoperation of Dexterous Robotic Hand-Arm Systemcited by 114
- 2022VideoDex: Learning Dexterity from Internet Videoscited by 106
- 2023Synthesizing Physical Character-Scene Interactionscited by 104
- 2022From Play to Policy: Conditional Behavior Generation from Uncurated Robot Datacited by 103
- 2023On Bringing Robots Homecited by 101
- 2023CALM: Conditional Adversarial Latent Models for Directable Virtual Characterscited by 94
- 2021Blind Bipedal Stair Traversal via Sim-to-Real Reinforcement Learningcited by 92
- 2022Adversarial Motion Priors Make Good Substitutes for Complex Reward Functionscited by 89
- 2022Robotic Telekinesis: Learning a Robotic Hand Imitator by Watching Humans on Youtubecited by 82
- 2021Minimizing Energy Consumption Leads to the Emergence of Gaits in Legged Robotscited by 76
- 2024Learning Visuotactile Skills with Two Multifingered Handscited by 76
- 2018Robot Learning in Homes: Improving Generalization and Reducing Dataset Biascited by 75
- 2022Holo-Dex: Teaching Dexterity with Immersive Mixed Realitycited by 57
- 2023Deep Imitation Learning for Humanoid Loco-manipulation through Human Teleoperationcited by 54
- 2024Vision-based Manipulation from Single Human Video with Open-World Object Graphscited by 50
- 2023AirExo: Low-Cost Exoskeletons for Learning Whole-Arm Manipulation in the Wildcited by 47
- 2023Learning Vision-Based Bipedal Locomotion for Challenging Terraincited by 42
- 2020UniCon: Universal Neural Controller For Physics-based Character Motioncited by 40
- 2023Legs as Manipulator: Pushing Quadrupedal Agility Beyond Locomotioncited by 39
- 2022OPT-Mimic: Imitation of Optimized Trajectories for Dynamic Quadruped Behaviorscited by 35
- 2024Adaptive Mobile Manipulation for Articulated Objects In the Open Worldcited by 31
- 2023ALAN: Autonomously Exploring Robotic Agents in the Real Worldcited by 24
- 2023Generalized Animal Imitator: Agile Locomotion with Versatile Motion Priorcited by 19
- 2020A Mobile Robot Hand-Arm Teleoperation System by Vision and IMUcited by 15
50 most cited of 52 All 52 (JSON)
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Citing papers per year: 2024: 25; 2025: 73; 2026: 47.
145 papers.
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