FAIRFAX, Va., July 6 -- George Mason University issued the following news release:
What if a robot could learn from another robot's experience instead of starting from scratch every time it encountered a new task? That question is at the center of new research by George Mason University assistant professor Xuan Wang, who received a five-year, $640,000 Faculty Early Career Development (CAREER) award from the National Science Foundation (NSF).
The CAREER award, NSF's most prestigious honor for early-career faculty, will support Wang's efforts to develop new methods that allow robots to transfer knowledge more efficiently, reliably, and safely across different tasks, environments, and even different types of robots.
Today's learning-based r...