Send a note to Liz Simmons, Jonathan Wlodarski and our other editors. We read every email. By submitting this form, you agree to allow us to collect, store, and potentially publish your provided ...

Reinforcement learning (RL) for robotics is often associated with large GPU clusters, distributed infrastructure, and x86-based development environments. Training a humanoid robot with high-fidelity ...

Scientists say they've made a key breakthrough that would allow robots to figure out complex tasks on their own — but experts ...

Active learning takes advantage of control authority to improve data as it is being acquired. Robotics applications are particularly sensitive to how data is taken. For instance, machine vision is ...

Robots are everywhere, from the assembly line of major factories to the vacuums cleaning the living room carpet. As big tech companies continue to innovate, they are only becoming increasingly woven ...

Through artificial intelligence, machine learning and robotics, Case School of Engineering’s researchers are developing technologies for smart cities, smart manufacturing, smart homes, smart ...

Instructing preservice educators at Roger Williams University in STEM education highlights the complex, multifaceted nature of effective STEM lesson planning. Teachers must align instructional content ...

Standing amid hundreds of people in the rotunda of Chicago's iconic Museum of Science and Industry, Ritika Ghosh (MSR '23) felt her confidence building. Ghosh was teaching people of all ages about a ...

RIT engineering students develop underwater vessel sensing, robotics and maintenance projects sponsored by the U.S. Naval Sea ...