SuperSuit: An Isomorphic Bimodal Interface for Scalable Mobile Manipulation

arXiv:2603.06280 · cs.RO · Submitted 2026-03-06 · Read on arXiv

cs.RO

Submitted: 2026-03-06

Updated: 2026-10-13

Comments: Accepted to the 10th Conference on Robot Learning (CoRL 2026)

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Calibration — 1× in this paper · explained in 7 episodes
• Embodied AI — 1× in this paper · explained in 2 episodes

Sources

• Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware
• $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control
• FAST: Efficient Action Tokenization for Vision-Language-Action Models
• SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics
• OpenVLA: An Open-Source Vision-Language-Action Model
• Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success
• 4D-VLA: Spatiotemporal Vision-Language-Action Pretraining with Cross-Scene Calibration
• RoboCOIN: An Open-Sourced Bimanual Robotic Data Collection for Integrated Manipulation
• DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset
• Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation
• BEHAVIOR Robot Suite: Streamlining Real-World Whole-Body Manipulation for Everyday Household Activities
• HOMIE: Humanoid Loco-Manipulation with Isomorphic Exoskeleton Cockpit
• HumanoidExo: Scalable Whole-Body Humanoid Manipulation via Wearable Exoskeleton
• EgoHumanoid: Unlocking In-the-Wild Loco-Manipulation with Robot-Free Egocentric Demonstration
• Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots
• DexUMI: Using Human Hand as the Universal Manipulation Interface for Dexterous Manipulation
• Humanoid Manipulation Interface: Humanoid Whole-Body Manipulation from Robot-Free Demonstrations
• HumanPlus: Humanoid Shadowing and Imitation from Humans
• Expressive Whole-Body Control for Humanoid Robots
• OmniH2O: Universal and Dexterous Human-to-Humanoid Whole-Body Teleoperation and Learning

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