Interesting Engineering on MSN
AI-trained quadruped robot walks rough, low-friction terrain without human input
This multi-objective setup encourages natural walking behavior rather than rigid or inefficient movement. A four-stage ...
Interesting Engineering on MSN
Video: China’s humanoid robot masters complex skills in hours without prior setup
Last year, PNDbotics debuted its latest humanoid platforms at WAIC 2025, highlighting advances in actuation, control, and ...
FPMCO decomposes multi-constraint RL into KL-projection sub-problems, achieving higher reward with lower computing than second-order rivals on the new SCIG robotics benchmark.
SHANGHAI, Nov. 2, 2025 /PRNewswire/ -- AgiBot, a robotics company specializing in embodied intelligence, announced a key milestone with the successful deployment of its Real-World Reinforcement ...
Boasting a sophisticated design tailored for versatile mobility, Cassie demonstrates remarkable agility as it effortlessly navigates quarter-mile runs and performs impressive long jumps without ...
Researchers created a deep reinforcement learning model that lets robots adapt to visual changes, maintain localization, and navigate complex indoor spaces more safely and efficiently. (Nanowerk News) ...
The integration of artificial intelligence into robotics is poised for significant expansion in the near future, according to ...
Deep Robotics, a company from China, has unveiled a durable four-legged robot built to operate in extreme environments that humans struggle to traverse. It's called the Lynx M20, and it builds upon ...
Researchers have developed a novel framework, termed PDJA (Perception–Decision Joint Attack), that leverages artificial ...
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