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Researchers developed a drone that flies autonomously using neuromorphic image processing, mimicking animal brains. This method significantly improves data processing speed and energy efficiency compared to traditional GPUs. The study highlights the potential for tiny, agile drones for various applications.

Researchers leveraged deep reinforcement learning (DRL) to enable a robot to adaptively switch gaits, mimicking animal movements like trotting and pronking, to traverse complex terrains effectively. Their study explores the concept of viability—or fall prevention—as a primary motivator for such gait transitions, challenging previous beliefs that energy efficiency is the key driver.

Researchers explored whether modern robots can outpace biological organisms in speed and agility. The study concludes that despite advances in engineering, animals still surpass robots in locomotive efficiency in natural settings.

Researchers developed innovative, flexible devices that can gently wrap around nerve fibers, potentially transforming the diagnosis and treatment of neurological disorders. These tiny, flexible “nerve cuffs” employ soft robotics and flexible electronics to interface with peripheral nerves without causing damage.

Researchers developed SORI, a groundbreaking Softness Rendering Interface that can accurately simulate the perception of softness, addressing a long-standing challenge in robotics. By distinguishing between cutaneous and kinesthetic cues, SORI can replicate the softness of various materials, from marshmallows to beating hearts, offering vast applications in medicine, deep-sea exploration, and robot-assisted agriculture. This innovation not […]