Autonomous robotic locomotion investigates how robots perceive, plan, and execute movement in complex, often unstructured environments with minimal human intervention. Work in this area spans legged, wheeled, aerial, amphibious, and soft robots, emphasizing bio-inspired control strategies, neuromechanics, and learning-based methods for gait adaptation, trajectory modulation, and slip prevention. Research also addresses navigation and mapping, kinematic and impedance control, and human–robot collaboration, enabling robots to perform tasks such as construction, waste collection, manipulation, and agile behaviors like parkour, badminton, and swarm-based assembly.
Machine learning & AI
A powerful new AI tool Manus is making waves in China, fueling hopes that it could replicate the success of DeepSeek, which earlier this year rattled the global tech industry with its state-of-the-art chatbot.
Mar 12, 2025
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Engineering
Scientists say they have developed a new AI-assisted model of a digital twin with the ability to adapt and control the physical machine in real time.
Mar 10, 2025
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Robotics
Researchers at the Institute of Technology, University of Tartu, present a robotics concept in which temporary robot embodiments and movement pathways are spun in situ from a polymer solution. They demonstrate an ad hoc gripper ...
Mar 7, 2025
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Robotics
Imagine that a robot is helping you clean the dishes. You ask it to grab a soapy bowl out of the sink, but its gripper slightly misses the mark.
Mar 7, 2025
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Robotics
Engineers have designed a tiny, low-weight and cordless robot that can act independently and with ultra-high precision in all directions in some of the most extreme conditions. The robot, which the designers call "Holonomic ...
Mar 6, 2025
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