KAIST develops a beetle-inspired soft robot that operates with artificial muscles and sensory feedback
Peer-Reviewed Publication
Updates every hour. Last Updated: 22-Oct-2026 13:16 ET (22-Oct-2026 17:16 GMT/UTC)
KAIST, Caltech, and Nanyang Technological University (NTU) in Singapore develop “BeetleBot,” a soft robot based on artificial muscles. The robot combines walking and object gripping with visual and tactile sensing, so users can steer it while checking camera images and contact information. In demonstrations, the robot avoided obstacles and picked up and carried a target object, which lays the groundwork for soft robots used in remote tasks.
Researchers have developed a new electrochemical sensor for rapidly and accurately detecting a naturally occurring compound widely used in the food, beverage and fragrance industries.
The first Europe-wide expert working group on Artificial Intelligence in mental health launches today to the ECNP congress in Munich, where the group will host an open discussion, setting out the potential, the problems, and possible directions for AI in psychiatry and neuroscience. Going forward, the group will set out plans to guide the regulation and development of artificial intelligence (AI) in mental health in Europe.
For decades, physicists have sought a practical two-dimensional topological insulator: an ultrathin material whose interior blocks electricity but whose edges conduct it. In ordinary wires, electrons constantly bounce off imperfections, losing energy. But along the edges of a 2D topological insulator, electrons with opposite spins travel in opposite directions, like cars in one-way lanes, so they rarely scatter and lose energy. Now, researchers at the University of Chicago Pritzker School of Molecular Engineering (UChicago PME) have shown that ultrathin films of bismuth telluride are such a material. The work, published in ACS Nano, used a new approach to produce a uniform-thickness bismuth telluride film and confirm theoretical predictions about the material’s properties.
A new study compares archived real-time and post-processed precise satellite products for multi-constellation, multi-frequency precise point positioning with ambiguity resolution (PPP-AR).
A research paper by scientists at Guangzhou Medical University presented a large-language-model-based multimorbidity score (LLM-MMS), a prompt-based large-language-model-derived multimorbidity phenotype score.
The research paper, published on Sep 30 2026 in the journal Cyborg and Bionic Systems.