Learning From Demonstrations Using Signal Temporal Logic in Stochastic and Continuous Domains
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2021.3092676
Abstract: Learning control policies that are safe, robust and interpretable are prominent challenges in developing robotic systems. Learning-from-demonstrations with formal logic is an arising paradigm in reinforcement learning to estimate rewards and extract robot control policies… read more here.
Keywords: demonstrations using; logic stochastic; learning demonstrations; signal temporal ... See more keywords
Robust Learning From Demonstrations With Mixed Qualities Using Leveraged Gaussian Processes
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Robotics"
DOI: 10.1109/tro.2019.2891173
Abstract: In this paper, we focus on the problem of learning from demonstration (LfD) where demonstrations with different proficiencies are provided without labeling. To this end, we model multiple policies with different qualities as correlated Gaussian… read more here.
Keywords: mixed qualities; qualities using; gaussian processes; learning demonstrations ... See more keywords
Learning from Demonstrations in Human-Robot Collaborative Scenarios: A Survey
Sign Up to like & getrecommendations! Published in 2022 at "Robotics"
DOI: 10.3390/robotics11060126
Abstract: Human–Robot Collaboration (HRC) is an interdisciplinary research area that has gained attention within the smart manufacturing context. To address changes within manufacturing processes, HRC seeks to combine the impressive physical capabilities of robots with the… read more here.
Keywords: demonstrations human; robotics; collaborative scenarios; survey ... See more keywords