Learning robot anomaly recovery skills from multiple time-driven demonstrations
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2021.08.036
Abstract: Abstract Robots are prone to making anomalies when performing manipulation tasks in unstructured environments, it is often desirable to rapidly adapt the robotic behavior to avoid environmental changes by learning from experts’ demonstrations. We propose… read more here.
Keywords: recovery skills; time; anomaly recovery; robot ... See more keywords
Dynamic Event-Triggered Composite Learning Robot Control With Exponential Tracking
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2025.3559961
Abstract: Composite learning can guarantee the exponential stability of adaptive robot control under a condition termed interval excitation (IE) that is strictly weaker than the classical condition of persistent excitation. However, existing composite learning robot control… read more here.
Keywords: learning robot; event triggered; composite learning; robot control ... See more keywords