Enhancing Learning Capabilities of Movement Primitives under Distributed Probabilistic Framework for Assembly Tasks
(2020)
Presentation / Conference Contribution
Wang, L., Jia, S., Wang, G., Turner, A., & Ratchev, S. (2020, October). Enhancing Learning Capabilities of Movement Primitives under Distributed Probabilistic Framework for Assembly Tasks. Presented at 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Toronto, ON, Canada
This paper presents a novel distributed probabilistic framework based on movement primitives for flexible robots assembly implementation. Since modern advanced industrial cell usually deals with various tasks that are not fixed via-point trajectories... Read More about Enhancing Learning Capabilities of Movement Primitives under Distributed Probabilistic Framework for Assembly Tasks.