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ModPack introduces a modular teleoperation framework centered on an open-source wearable backpack designed to unify diverse robot embodiments for bimanual mobile manipulation tasks. By integrating onboard computation, haptic feedback, and active perception modules, the system aims to enhance scalability in data collection and policy learning across different hardware platforms. This work represents significant progress in robotics infrastructure that directly supports advanced AI-driven control strategies rather than focusing on consumer applications or general networking standards.
ModPack: An Extensible Teleoperation Interface for Bimanual Mobile Manipulation
arXiv:2607.19479v1 Announce Type: cross Abstract: Existing teleoperation systems are often tailored to specific robot hardware and task domains, limiting their scalability and adaptability. We present ModPack, a modular and extensible teleoperation system designed to support diverse robot embodiments and task requirements within a unified framework. At the core of ModPack is a self-contained wearable "backpack" that integrates onboard computation, power, communication, and data storage. Built on top of this shared interface, the system supports plug-and-play capability modules including joint-level teleoperation with haptic feedback, mobile manipulation, and active perception. Experiments across two distinct robot platforms and real-world mobile manipulation tasks demonstrate that ModPack provides a flexible and reusable framework for data collection and policy learning. To support future research, we open-source the complete hardware design and software stack. Project website: https://modpack-robotics.github.io/
Abstract:Existing teleoperation systems are often tailored to specific robot hardware and task domains, limiting their scalability and adaptability. We present ModPack, a modular and extensible teleoperation system designed to support diverse robot embodiments and task requirements within a unified framework. At the core of ModPack is a self-contained wearable "backpack" that integrates onboard computation, power, communication, and data storage. Built on top of this shared interface, the system supports plug-and-play capability modules including joint-level teleoperation with haptic feedback, mobile manipulation, and active perception. Experiments across two distinct robot platforms and real-world mobile manipulation tasks demonstrate that ModPack provides a flexible and reusable framework for data collection and policy learning. To support future research, we open-source the complete hardware design and software stack. Project website: this https URL
Robotics (cs.RO); Artificial Intelligence (cs.AI)
arXiv:2607.19479 [cs.RO]
(or arXiv:2607.19479v1 [cs.RO] for this version)
https://doi.org/10.48550/arXiv.2607.19479 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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