Abstract: Learning from demonstration (LfD) can be used to increase the behavioural repertoire of a robot, but most demonstration-based learning techniques do not enable a robot to acquire knowledge ...

Most people think of Toyota and picture a Camry, a Tacoma, maybe a Prius. A 7-foot-2 robot shooting free throws at halftime of a professional basketball game? That's a harder image to conjure. But ...

Toyota’s CUE7 robot uses AI to learn basketball shooting through trial and error instead of fixed programming. The 7-foot-2 robot is lighter, faster and more agile ...

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A humanoid robot aptly named Lightning made history on the streets of Beijing over the weekend, beating the human half-marathon world record by several minutes. Dozens of robots lined up for the ...

Abstract: Mobile robot navigation involves guiding a robot from one location to another, a complex task requiring the integration of various components. Reinforcement learning (RL) has emerged as a ...

Taiwan's National Science and Technology Council (NSTC) chair Cheng-Wen Wu recently told the Legislative Yuan that Taiwan's robot development strategy aims to deploy machines for heavy and hazardous ...

See more of our trusted coverage when you search. Prefer Newsweek on Google to see more of our trusted coverage when you search. Four-legged robot dog, powered by AI have been patrolling the streets, ...

Over the past few decades, robotics researchers have developed a wide range of increasingly advanced robots that can autonomously complete various real-world tasks. To be successfully deployed in real ...

Legged robot performing analogue tests in Marslabor at the University of Basel. Credit: Dr Tomaso Bontognali. Dr Gabriela Ligeza is a former PhD student from the University of Basel and now a ...

Researchers in China have developed a new system that significantly improves how humanoid robots learn to play tennis, marking a step forward in robotic athletic performance. The project, created with ...

Test automation has come a long way from static scripts and rigid frameworks. Today, the focus is shifting toward intelligent, adaptive systems that can recover from failures and optimize themselves.