This special issue aims to publish the latest advances in the development of smarter and cognitive machines, which are more reliable, sustainable, and durable. The topics of interest include collaborative robotics, human-compliant robotics systems, deep learning approaches for grasping, machine learning for biosignals, system of simulation and modeling, machine learning, biological signal processing, fault analysis and systemic health evaluation, decision theory, distributed multi-agent systems, and structural Bayesian network learning. Manuscripts should be submitted online and should not have been published previously. All manuscripts are thoroughly refereed through a single-blind peer-review process.
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