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ModPack is an innovative teleoperation system that addresses the limitations of existing systems by providing a modular and extensible interface suitable for various robot embodiments and tasks. The system features a wearable backpack that integrates essential components such as computation, power, and communication, enabling plug-and-play capability for diverse modules like haptic feedback and active perception. Experimental validation on multiple robot platforms shows that ModPack enhances flexibility and reusability in data collection and policy learning, with all designs and software made available for future research.
ModPack transforms teleoperation by enabling seamless integration of diverse capabilities across different robotic platforms with a single modular interface.
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/
Stanford HAI