Robotics is entering a new phase where general-purpose learning matters as much as mechanical design. Instead of programming ...

Robots have long excelled at repetitive factory work welding, picking, placing, and packaging yet they’ve struggled with the ...

New “AI GYM for Science” dramatically boosts the biological and chemical intelligence of any causal or frontier LLM, ...

The Rho-alpha model incorporates sensor modalities such as tactile feedback and is trained with human guidance, says ...

HybridLeg robots Olaf and Snogie use impact-safe design and self-recovery to enable scalable, real-world hardware ...

Robots powered by physical AI systems that enable machines to autonomously perceive, understand, reason and interact with the ...

A quadruped robot uses deep reinforcement learning to master walking on varied terrains, demonstrating energy-efficient and ...

ACE developed two complementary modelling tools that bolster the Ministry of Defence's rapid tactical decision-making abilities, balancing speed and ...

Abstract: Automated Guided Vehicle (AGV) positioning and scheduling critically impact automated container terminal efficiency, yet operational uncertainties significantly challenge effective ...

Researchers have developed a novel framework, termed PDJA (Perception–Decision Joint Attack), that leverages artificial ...

BLR announced that TrainingToday, its workforce training platform, has been awarded in the Best Advance in Learning ...

Data-driven insights to support veterinary practices, advisors, and multi-site organizations planning for the year ...