Page 5: Research news on Autonomous robotic locomotion

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

Top developers are pivoting from chatbots to physical AI

Computer scientist Louis Castricato was in his eighth year studying large language models—the artificial intelligence technology behind chatbots like ChatGPT and Claude—when he started to feel like he was hitting a dead end.

Computer Sciences

Combining lessons from ants and birds to improve AI

Combining ideas inspired by ant colonies and flocks of birds may hold the key to unlocking more effective artificial intelligence, according to a researcher at Missouri S&T. "With the way AI algorithms are currently structured, ...

Robotics

When will AI robots become part of everyday lives?

Many AI robots appear intelligent as long as they operate in controlled environments. Neuroscientist and robotics researcher Elisa Donati explains why robots with real-world readiness require more than just fast software.

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