All Outputs (2)

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.

System condition monitoring through Bayesian change point detection using pump vibrations (2020)
Conference Proceeding
Tochev, E., Rengasamy, D., Pfifer, H., & Ratchev, S. (2020). System condition monitoring through Bayesian change point detection using pump vibrations. . https://doi.org/10.1109/CASE48305.2020.9216962

This paper presents a method for vibration analysis and a simple test bench analogue for the solder pumping system in an industrial wave-soldering machine at a Siemens factory. A common machine fault is caused by solder build-up within the pipes of t... Read More about System condition monitoring through Bayesian change point detection using pump vibrations.