MANGALURU: Sushanth Sujeer Kumar, a 22-year-old graduate from Srinivas Institute of Technology, Mangaluru, has developed ...

Harvard engineers developed a wearable robot powered by machine learning to help people with ALS and stroke regain arm and ...

Overview Using robotics in medical device manufacturing contributes to patient safety and shortens recovery periods.Hospitals and healthcare institutions benefi ...

This study published in Robot Learning has been focused on water analysis using the combination of decision making and machine learning for a recently developed robotic system. The unique procedure ...

Discover how reinforcement learning is transforming quadruped robots like Spot into agile, adaptable tools for real-world applications.

An international group of roboticists, including three from MIT, debated the best way to approach robotic manipulation moving forward.

Despite advancements in hardware, AI, and machine learning, deploying robots in dynamic, real-world settings—and getting them to do what we want—remains difficult. Cristian-Ioan Vasile, an assistant ...

We've seen robot dogs run up hills with luggage, and help fight fires. Now, researchers at Switzerland's ETH Zurich are ...

The study included five people who had experienced a stroke and four living with ALS, a nervous system disease also known as ...

Medical robots today are pretty dumb, typically acting as extensions of a surgeon's hands rather than taking over for them.

The system uses a machine learning technique called attention-based map encoding, trained through reinforcement learning.

Boston Dynamics' engineers push Spot to new limits, testing daring backflips to make the robot dog tougher and smarter.