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Digit Plexus

Robotic hardware platform integrating sensors and end effectors.

CommonProductProductivityRoboticsHardware Platform
Digit Plexus is a robotic hardware platform designed to provide standardized hardware-software solutions for integrating tactile sensors in various robotic hands. This platform can integrate vision-based and skin-based tactile sensors, such as Digit, Digit 360, and ReSkin, into a control board and transmit all data encoded through a single cable to a host computer. This integration allows for seamless data collection, control, and analysis. Background information on the product indicates that Digit Plexus collaborated with Wonik Robotics to develop the next-generation Allegro Hand based on this platform, and there is an opportunity to express interest in early access through specific links.
Digit Plexus
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Digit Plexus Visit Over Time

Monthly Visits

494758773

Bounce Rate

37.69%

Page per Visit

5.7

Visit Duration

00:06:29

Digit Plexus Visit Trend

Digit Plexus Visit Geography

Digit Plexus Traffic Sources

Digit Plexus Alternatives

Universal Manipulation Interface

Universal Manipulation Interface — The Universal Manipulation Interface (UMI) is a data collection and strategy learning framework that enables the direct transfer of skills from human demonstrations on-site to deployable robot strategies. UMI combines handheld grips with meticulous interface design to achieve portable, low-cost, and informative data collection for challenging two-handed and dynamic operation demonstrations. To promote deployable strategy learning, UMI incorporates well-designed strategy interfaces with real-time delay matching and relative trajectory action representation. As a result, the learning strategies are hardware-agnostic and deployable on multiple robot platforms. With these features, the UMI framework unlocks new robot manipulation capabilities, allowing for generalized dynamic, two-handed, precise, and long-duration behaviors, achievable with zero adjustments. We have demonstrated the versatility and effectiveness of UMI through comprehensive real-world experiments, where strategies trained with various human demonstrations achieved zero-shot generalization in new environments and with new objects.

Others•Education•Robotics
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