Dynamic movement primitives based cloud robotic skill learning for point and non-point obstacle avoidance
(2021)
Journal Article
Lu, Z., & Wang, N. (2021). Dynamic movement primitives based cloud robotic skill learning for point and non-point obstacle avoidance. Assembly Automation, 41(3), 302-311. https://doi.org/10.1108/AA-11-2020-0168
Purpose: Dynamic movement primitives (DMPs) is a general robotic skill learning from demonstration method, but it is usually used for single robotic manipulation. For cloud-based robotic skill learning, the authors consider trajectories/skills change... Read More about Dynamic movement primitives based cloud robotic skill learning for point and non-point obstacle avoidance.