A new machine-learning technique can train and control a reconfigurable soft robot that can dynamically change its shape to complete a task. The researchers also built a simulator that can evaluate control algorithms for shape-shifting soft robots.
Researchers have developed a robotic feeding system that uses computer vision, machine learning and multimodal sensing to safely feed people with severe mobility limitations, including those with spinal cord injuries, cerebral palsy and multiple sclerosis.
Walking and running is notoriously difficult to recreate in robots. Now, a group of researchers has overcome some of these challenges by creating an innovative method that employs central pattern generators -- neural circuits located in the spinal cord that generate rhythmic patterns of muscle activity -- with deep reinforcement learning. The method not only imitates walking and running motions but also generates movements for frequencies where motion data is absent, enables smooth transition movements from walking to running, and allows for adapting to environments with unstable surfaces.
Cornell researchers have developed a robotic feeding system that uses computer vision, machine learning and multimodal sensing to safely feed people with severe mobility limitations, including those with spinal cord injuries, cerebral palsy and multiple sclerosis.
The M55 rocket stockpile was successfully destroyed without any major incidents. With so many complex systems, processes, and disposal procedures, the Robosuits played a key role in ensuring that all of the careful planning and timing would not be disrupted.
An international group of researchers has created a new approach to imitating human motion by combining central pattern generators (CPGs) and deep reinforcement learning (DRL). The method not only imitates walking and running motions but also generates movements for frequencies where motion data is absent, enables smooth transition movements from walking to running, and allows for adaptation to environments with unstable surfaces.
Conversational agents (CAs) such as Alexa and Siri are designed to answer questions, offer suggestions -- and even display empathy. However, new research finds they do poorly compared to humans when interpreting and exploring a user's experience.
Introducing a new AI model developed by Google DeepMind and Isomorphic Labs.
Introducing a new AI model developed by Google DeepMind and Isomorphic Labs.
Introducing a new AI model developed by Google DeepMind and Isomorphic Labs.
Introducing a new AI model developed by Google DeepMind and Isomorphic Labs.
Introducing a new AI model developed by Google DeepMind and Isomorphic Labs.
Introducing a new AI model developed by Google DeepMind and Isomorphic Labs.
Introducing a new AI model developed by Google DeepMind and Isomorphic Labs.
Introducing a new AI model developed by Google DeepMind and Isomorphic Labs.