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 ...

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 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.

Co., Ltd. submitted a patent application titled "A Multi-Robot Collaborative Scheduling Method Based on Reinforcement Learning," which is set to be disclosed in May 2025. This marks the company's ...

The case of Boston Dynamics' Spot once again validates the crucial role of AIin the development of robotics technology. Reinforcement lear ...

Dive into the revolutionary world of AI Robotics and Machine Learning, where Autonomous Robots and cutting-edge Robotics ...