EPFL researchers have developed a customizable comfortable robotic system that makes use of compressed air to supply form modifications, vibrations, and different haptic, or tactile, suggestions in quite a lot of configurations. The system holds vital promise for functions in digital actuality, bodily remedy, and rehabilitation.
In distinction to its versatile and reasonably advanced 16 doable configurations, the design of the Digits framework, developed within the Reconfigurable Robotics Lab in EPFL’s College of Engineering, is comparatively easy. Each configuration is made from a number of modules—or Digits—which can be composed of inflexible hyperlinks joined by versatile joints. These joints are managed by pressurized air pouches to alter the modules’ form and stiffness.
In a research not too long ago printed in Superior Clever Methods, Reconfigurable Robotics Lab head Jamie Paik and her staff current two Digits configurations—the wearable TangiGlove and hand-held TangiBall—demonstrating their framework’s versatility.
“Haptic, or tactile, interfaces can improve digital actuality experiences by emulating real-world contact, and help rehabilitation by means of interactive programs. However there’s a actual want for extra generalized reconfigurable designs and management strategies,” explains Ph.D. scholar and first creator Serhat Demirtas.
Due to its modular design, the Digits framework holds potential for a variety of functions, together with progressive muscle coaching and motor restoration in addition to completely different configurations for haptic interfaces in digital environments.

Matching the sensory richness of human contact
In contrast to different human senses like imaginative and prescient and listening to, that are largely passive, the sense of contact requires advanced actions, like rubbing or greedy, to understand texture, temperature, weight, form, or stiffness. Haptic applied sciences are subsequently usually developed for a single use or facet of contact, as this can be very difficult to create programs that may mix adaptability and scalability with a lifelike haptic expertise.
The Digits framework meets this problem due to the signature reconfigurable robotics expertise of Paik’s lab. Remarkably, it spans two main classes of robotic configuration: closed-chain and open-chain. Whereas open-chain constructions include sequence of linked hyperlinks mounted at one finish, like a robotic arm, closed-chain configurations often have a loop design with two mounted ends.
The open-chain TangiGlove subsequently resembles an exoskeleton, which can be utilized to ship stiffness suggestions to the wearer. In the meantime, the closed-chain TangiBall has 4 linked Digits that may assume as much as eight completely different shapes—starting from a dice to a sphere—along with offering stiffness suggestions. Each gadgets also can produce vibrations.
Along with its modular design, the Digits framework is notable for its deal with pneumatic (compressed air)-based actuation, which is an underexplored space of robotics for personalised haptic experiences. To shut this hole, the scientists prolonged the open-source robotics software program Feelix, enabling customers to create customized pneumatic haptic interplay profiles. The machine learning-based system can sense touch-induced modifications within the Digits modules and create new clever, intuitive interactions—with no coding required.

The staff already has plans to develop the expertise’s rehabilitation potential by evaluating therapeutic situations and long-term usability. They’re additionally investigating a wider vary of functions by way of new configurations, particularly people who leverage the system’s fast transitions between completely different, dimensions, shapes, and stiffnesses—an important prerequisite for real-time interplay in digital and augmented environments.
“Our aim with the Digits modules is to redefine human-machine interplay by means of reconfigurable robots that adapt their form, stiffness, and haptic suggestions. This adaptability helps extra tangible digital actuality, efficient rehabilitation, and richer experiences for everybody—no matter their measurement, capability, and want,” Paik emphasizes.
Extra info:
Serhat Demirtas et al, Reconfigurable Haptic Suggestions: Complete Design and Management Framework, Superior Clever Methods (2025). DOI: 10.1002/aisy.202500142
Ecole Polytechnique Federale de Lausanne
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