Provided Demonstration
Robot learning from demonstration (LfD) focuses on enabling robots to acquire skills by observing human actions, aiming to improve both the efficiency and effectiveness of robot training. Current research emphasizes developing methods for collecting diverse and informative demonstrations, including automated data acquisition techniques and novel approaches to handling the inherent variability in human behavior, such as through compatibility measures and the use of elastic maps to represent trajectories. These advancements are significant because they promise more robust and generalizable robot learning, leading to improved performance in real-world applications like household robotics and industrial automation.
Papers
July 8, 2024
December 4, 2023
September 26, 2023
December 19, 2022
October 14, 2022
August 3, 2022