Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation
On the map: Offline RL and imitation learning from data → Robot manipulation imitation learning
Abstract (arXiv)
Imitation learning from human demonstrations has shown impressive performance in robotics. However, most results focus on table-top manipulation, lacking the mobility and dexterity necessary for generally useful tasks. In this work, we develop a system for imitating mobile manipulation tasks that are bimanual and require whole-body control. We first present Mobile ALOHA, a low-cost and whole-body teleoperation system for data collection. It augments the ALOHA system with a mobile base, and a whole-body teleoperation interface. Using data collected with Mobile ALOHA, we then perform supervised behavior cloning and find that co-training with existing static ALOHA datasets boosts performance on mobile manipulation tasks. With 50 demonstrations for each task, co-training can increase success rates by up to 90%, allowing Mobile ALOHA to autonomously complete complex mobile manipulation tasks such as sauteing and serving a piece of shrimp, opening a two-door wall cabinet to store heavy cooking pots, calling and entering an elevator, and lightly rinsing a used pan using a kitchen faucet. Project website: https://mobile-aloha.github.io
Key facts. Cited by 377 papers in the map (data through 7 Oct 2026). Placed in Robot manipulation imitation learning, one of 13 directions in Offline RL and imitation learning from data. Builds on 66 of its 97 references that are in the map. First posted on arXiv 4 Jan 2024.
Builds on
66 of 97 references.
Closest ancestors · 12
Same direction, newest first
- 2023Waypoint-Based Imitation Learning for Robotic Manipulation26 Jul
- 2023Decomposing the Generalization Gap in Imitation Learning for Visual Robotic Manipulation7 Jul
- 2023Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware23 Apr
- 2023MimicPlay: Long-Horizon Imitation Learning by Watching Human Play24 Feb
- 2022Latent Plans for Task-Agnostic Offline Reinforcement Learning19 Sep
- 2022Behavior Transformers: Cloning k modes with one stone22 Jun
- 2022Demonstrate Once, Imitate Immediately (DOME): Learning Visual Servoing for One-Shot Imitation Learning6 Apr
- 2022Goal-conditioned dual-action imitation learning for dexterous dual-arm robot manipulation18 Mar
- 2021Error-Aware Imitation Learning from Teleoperation Data for Mobile Manipulation9 Dec
- 2021The Surprising Effectiveness of Representation Learning for Visual Imitation2 Dec
- 2021Coarse-to-Fine Imitation Learning: Robot Manipulation from a Single Demonstration13 May
- 2018Task-Embedded Control Networks for Few-Shot Imitation Learning8 Oct
Other references · 54
- 2015Deep Residual Learning for Image Recognitioncited by 51,809
- 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,604
- 2020Denoising Diffusion Implicit Modelscited by 9,655
- 2023RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Controlcited by 2,993
- 2023Diffusion Policy: Visuomotor Policy Learning via Action Diffusioncited by 2,730
- 2022Do As I Can, Not As I Say: Grounding Language in Robotic Affordancescited by 2,302
- 2021What Matters in Learning from Offline Human Demonstrations for Robot Manipulationcited by 699
- 2022R3M: A Universal Visual Representation for Robot Manipulationcited by 678
- 2021CLIPort: What and Where Pathways for Robotic Manipulationcited by 617
- 2022Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulationcited by 545
- 2021Implicit Behavioral Cloningcited by 442
- 2020Transporter Networks: Rearranging the Visual World for Robotic Manipulationcited by 342
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- 2021Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain Datasetscited by 248
- 2022Real-World Robot Learning with Masked Visual Pre-trainingcited by 241
- 2017One-Shot Imitation Learningcited by 232
- 2017One-Shot Visual Imitation Learning via Meta-Learningcited by 225
- 2023TidyBot: Personalized Robot Assistance with Large Language Modelscited by 219
- 2023RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shotcited by 173
- 2022GNM: A General Navigation Model to Drive Any Robotcited by 161
- 2022Human-to-Robot Imitation in the Wildcited by 157
- 2018One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learningcited by 146
- 2021Learning Generalizable Robotic Reward Functions from "In-The-Wild" Human Videoscited by 116
- 2019AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videoscited by 105
- 2022From Play to Policy: Conditional Behavior Generation from Uncurated Robot Datacited by 103
- 2023On Bringing Robots Homecited by 101
- 2017Vision-Based Multi-Task Manipulation for Inexpensive Robots Using End-To-End Learning from Demonstrationcited by 100
- 2022Deep Whole-Body Control: Learning a Unified Policy for Manipulation and Locomotioncited by 98
- 2021Learning by Watching: Physical Imitation of Manipulation Skills from Human Videoscited by 87
- 2020Transformers for One-Shot Visual Imitationcited by 77
- 2018Robot Learning in Homes: Improving Generalization and Reducing Dataset Biascited by 75
- 2020Model-Based Inverse Reinforcement Learning from Visual Demonstrationscited by 52
- 2023Robot Learning with Sensorimotor Pre-trainingcited by 51
- 2023Deep Imitation Learning for Humanoid Loco-manipulation through Human Teleoperationcited by 49
- 2022Vision-Based Manipulators Need to Also See from Their Handscited by 46
- 2022Multi-skill Mobile Manipulation for Object Rearrangementcited by 46
- 2023AirExo: Low-Cost Exoskeletons for Learning Whole-Arm Manipulation in the Wildcited by 46
- 2022Combining Learning-based Locomotion Policy with Model-based Manipulation for Legged Mobile Manipulatorscited by 32
- 2021Fully Autonomous Real-World Reinforcement Learning with Applications to Mobile Manipulationcited by 30
- 2023Polybot: Training One Policy Across Robots While Embracing Variabilitycited by 28
- 2022Robot Learning of Mobile Manipulation with Reachability Behavior Priorscited by 20
- 2019Whole-Body Geometric Retargeting for Humanoid Robotscited by 19
- 2023Causal Policy Gradient for Whole-Body Mobile Manipulationcited by 18
- 2021Hierarchical Neural Dynamic Policiescited by 17
- 2023Harmonic Mobile Manipulationcited by 16
- 2022iCub3 Avatar System: Enabling Remote Fully-Immersive Embodiment of Humanoid Robotscited by 15
- 2023Skill Transformer: A Monolithic Policy for Mobile Manipulationcited by 15
- 2021NimbRo Avatar: Interactive Immersive Telepresence with Force-Feedback Telemanipulationcited by 13
- 2019A Mobile Manipulation System for One-Shot Teaching of Complex Tasks in Homescited by 12
- 2019Perceptual Values from Observationcited by 11
- 2021Learning Periodic Tasks from Human Demonstrationscited by 10
50 most cited of 54 All 54 (JSON)
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Citing papers per year: 2024: 109; 2025: 154; 2026: 114.
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