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All Outputs (3)

Imitation learning for coordinated human–robot collaboration based on hidden state-space models (2022)
Journal Article
Wang, L., Wang, G., Jia, S., Turner, A., & Ratchev, S. (2022). Imitation learning for coordinated human–robot collaboration based on hidden state-space models. Robotics and Computer-Integrated Manufacturing, 76, Article 102310. https://doi.org/10.1016/j.rcim.2021.102310

This paper proposes a novel coordinated human–robot collaboration framework based on the hidden state-space model, which probabilistically clones the human behaviour and presents dynamic features in a nonparametric form. Derived from the filter predi... Read More about Imitation learning for coordinated human–robot collaboration based on hidden state-space models.

Enhancing learning capabilities of movement primitives under distributed probabilistic framework for flexible assembly tasks (2021)
Journal Article
Wang, L., Jia, S., Wang, G., Turner, A., & Ratchev, S. (2021). Enhancing learning capabilities of movement primitives under distributed probabilistic framework for flexible assembly tasks. Neural Computing and Applications, https://doi.org/10.1007/s00521-021-06543-0

This paper presents a novel probabilistic distributed framework based on movement primitives for flexible robot assembly. Since the modern advanced industrial cell usually deals with various scenarios that are not fixed via-point trajectories but hig... Read More about Enhancing learning capabilities of movement primitives under distributed probabilistic framework for flexible assembly tasks.

Enhancing Learning Capabilities of Movement Primitives under Distributed Probabilistic Framework for Assembly Tasks (2020)
Conference Proceeding
Wang, L., Jia, S., Wang, G., Turner, A., & Ratchev, S. (2020). Enhancing Learning Capabilities of Movement Primitives under Distributed Probabilistic Framework for Assembly Tasks. . https://doi.org/10.1109/smc42975.2020.9283066

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.