MIT researchers developed a robotic table tennis system that predicts ball trajectories and adapts its swing in real time using a combination of perception modules and a custom control algorithm, achieving high accuracy and speed, with potential applications in complex object manipulation and search and rescue scenarios.
MIT engineers have developed a fast and precise ping pong robot that can return shots with an 88% success rate, mimicking human-like speed, spin, and strategy, with potential applications in sports training and search-and-rescue robotics.
Researchers have successfully demonstrated the predictive control of fusion plasma using a digital twin control system that incorporates real-time observations and data assimilation. This new control approach, demonstrated at the Large Helical Device (LHD), allows for the accurate prediction and control of fusion plasma behavior, paving the way for advanced controls essential for the realization of fusion power generation. The system, developed by a research group led by Assistant Professor Yuya Morishita and Professor Sadayoshi Murakami of Kyoto University and other collaborators, is expected to become fundamental to fusion reactor control and has the potential to address other societal issues involving uncertain factors.