Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
Recent Advances in Electronic Skin Enhance Touch and Proximity Sensing for Robotics and Prosthetics
Recent developments in miniaturized and portable electronics have led to a surge in demand for self-powered sensing technologies. Triboelectric nanogenerators (TENGs) are at the forefront of this trend, gaining significant attention for their ability to create highly sensitive tactile sensors. These advancements are crucial for enhancing the functionality of robots and prosthetics, enabling them to better interact with their environments. The importance of TENGs lies in their potential to revolutionize how robots and prosthetics sense touch and proximity. As these devices become more sensitive and adaptable, they can significantly improve user experience and operational efficiency. This is particularly relevant in applications where precise tactile feedback is essential, such as in robotic surgery or prosthetic limbs that require fine motor control. Looking ahead, the continued development of TENGs and similar technologies will be critical. The industry should monitor advancements in miniaturization and flexibility of electronic components, as these will play a vital role in the integration of advanced sensing capabilities into everyday devices. No further timeline was disclosed at the time of publication.
Robotics
Hanyang University Develops Dual-Gate Transistor for Enhanced Touch Sensing in Robotics
Researchers at Hanyang University ERICA have created a vertically integrated dual-gate transistor design aimed at improving touch sensing in robots and prosthetics. This innovative architecture addresses the limitations of conventional tribotronic devices by offering tuneable sensitivity and reliable detection, which are crucial for applications requiring human-like touch perception. The significance of this advancement lies in its potential to enhance the functionality of electronic skin systems, enabling robots and prosthetics to perceive touch more reliably. The dual-gated tribotronic transistor features a polydimethylsiloxane (PDMS) sensing layer, which allows for high-density integration and improved performance compared to traditional devices that struggle with fixed sensitivity and integration challenges. Looking ahead, the research team, led by Associate Professor Jaekyun Kim, aims to further explore the applications of this technology in self-powered sensing systems. Their study was published online on April 9, 2026, and in Nano Energy on June 15, 2026. No further timeline was disclosed at the time of publication.
News Science electronic skin flexible electronics hanyang university human-robot interaction
AI brings object-level vision prosthetics closer to reality
Researchers at the NeuroAI Lab, led by Martin Schrimpf at the École Polytechnique Fédérale de Lausanne (EPFL), have developed advanced AI models capable of predicting precise stimulation sites in the brain. This groundbreaking research, which aims to enhance our understanding of brain functions and improve therapeutic interventions, was recently published. By utilizing sophisticated algorithms, the team analyzed neural data to identify optimal stimulation points, potentially revolutionizing treatments for neurological disorders. The findings underscore the intersection of artificial intelligence and neuroscience, highlighting the potential for AI to inform and refine medical practices.
From Prosthetics to Pixels: PSYONIC and NVIDIA Bridge the Robotics "Data Gap" with Real-to-Real Transfer
PSYONIC has integrated its Ability Hand into NVIDIA's Isaac Lab, marking a significant advancement in robotic manipulation technology. This collaboration introduces a "real-to-real" transfer pipeline that leverages human-driven data to enhance the training of dexterous robots. By utilizing data collected up to October 2023, the initiative aims to improve the precision and effectiveness of robotic tasks, ultimately bridging the gap between human and robotic capabilities. This innovative approach is expected to accelerate the development of more sophisticated and adaptable robotic systems, paving the way for broader applications in various industries.
NVIDIA US hand PSYONIC Ability HandRobotics needs a service framework.
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