Category Robots Podcast

Bio-machine hybrid robots (BHRs) represent a new generation of micro-aerial vehicles that be controlled by building an interface between biological and artificial systems. In contrast to conventional bionic robots, they are free of complex mechanical structures, and due to the direct adoption of the animal body, they have superior movement characteristics and lower energy demand. Thus, BHRs can be applied in many important scenarios, such as urban and wilderness rescue operations, environmental monitoring and hazardous area surveys.

'Sense' battle-tested for UAV anti-jamming in Ukraine; promises more resilient datalink for defense and commercial customers

Claire chatted to Lorenzo Jamone from Queen Mary University of London all about robotic hands, dexterity, and the sense of touch.

Lorenzo Jamone is a Senior Lecturer in Robotics at Queen Mary University of London, where he is the founder and director of the CRISP group: Cognitive Robotics and Intelligent Systems for the People. He received a PhD degree in humanoid technologies at the Italian Institute of Technology. He was previously an Associate Researcher at Waseda University in Japan, and at the Instituto Superior Técnico in Portugal. His current research interests include cognitive robotics, robotic manipulation, force and tactile sensing, robot learning.

Introducing a context-based framework for comprehensively evaluating the social and ethical risks of AI systems

Introducing a context-based framework for comprehensively evaluating the social and ethical risks of AI systems

Introducing a context-based framework for comprehensively evaluating the social and ethical risks of AI systems

Introducing a context-based framework for comprehensively evaluating the social and ethical risks of AI systems

Introducing a context-based framework for comprehensively evaluating the social and ethical risks of AI systems

Introducing a context-based framework for comprehensively evaluating the social and ethical risks of AI systems

Introducing a context-based framework for comprehensively evaluating the social and ethical risks of AI systems

Introducing a context-based framework for comprehensively evaluating the social and ethical risks of AI systems

Introducing a context-based framework for comprehensively evaluating the social and ethical risks of AI systems

Introducing a context-based framework for comprehensively evaluating the social and ethical risks of AI systems

In recent years, the need for a mini ball screws has become more evident through conversations with our customers and feedback from the marketplace. Specifically, the rising demand is for high-quality ball screws that are made in the U.S and available from stock.

Taking inspiration from music streaming services, a team of engineers at the University of Michigan, Google and Georgia Tech has designed the simplest way for users to program their own exoskeleton assistance settings.