By the time Carnegie Mellon University (CMU) researcher Hans Moravec published his seminal book on robotics “Mind Children” ...
Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...
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 ...
A quadruped robot uses deep reinforcement learning to master walking on varied terrains, demonstrating energy-efficient and ...
Underwater robots face many challenges before they can truly master the deep, such as stability in choppy currents. A new ...
Researchers have developed a novel framework, termed PDJA (Perception–Decision Joint Attack), that leverages artificial intelligence (AI) to address a ...
Japanese researchers develop an adaptive robot motion system that enables human-like grasping using minimal training data.
Despite rapid robotic automation advancements, most systems struggle to adapt their pre-trained movements to dynamic ...
Trends such as industry-specific AI and a new data economy will affect physical AI in 2026, says a Universal Robots executive ...
Researchers have developed a novel framework, termed PDJA (Perception–Decision Joint Attack), that leverages artificial ...
PNDbotics unveils Adam-U Ultra, a humanoid robot with VLA AI and 10,000+ data samples, learning new skills in hours.
The integration of artificial intelligence into robotics is poised for significant expansion in the near future, according to ...
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