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Importance of Parameter Settings on the Benefits of Robot-to-Robot Learning in Evolutionary Robotics [PDF]
Frontiers in Robotics and AI, 2019 Robot-to-robot learning, a specific case of social learning in robotics, enables multiple robots to share learned skills while completing a task. The literature offers various statements of its benefits.
Jacqueline Heinerman +2 more
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Learning from Demonstrations in Human–Robot Collaborative Scenarios: A Survey
Robotics, 2022 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
Arturo Daniel Sosa-Ceron +2 more
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Learning an Accurate State Transition Dynamics Model by Fitting Both a Function and its Derivative
IEEE Access, 2022 Learning accurate state transition dynamics model in a sample-efficient way is important to predict the future states from the current states and actions of a system both accurately and efficiently in model-based reinforcement learning for many robotic ...
Youngho Kim, Hoosang Lee, Jeha Ryu
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Policy Optimization for Waste Crane Automation From Human Preferences
IEEE Access, 2023 This research introduces a novel approach to optimizing control policies for waste cranes operating at waste-to-energy plants. Although previous methods forced people to define evaluation functions for automation, such design works in actual environments
Yuhwan Kwon +4 more
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Sim-to-real via latent prediction: Transferring visual non-prehensile manipulation policies
Frontiers in Robotics and AI, 2023 Reinforcement Learning has been shown to have a great potential for robotics. It demonstrated the capability to solve complex manipulation and locomotion tasks, even by learning end-to-end policies that operate directly on visual input, removing the need
Carlo Rizzardo +3 more
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IEEE Access, 2022 Waste incineration plants are complex dynamical systems that rely on expert human operators to maintain steady combustion, by observing real-time in-chamber video feeds.
Brendan Michael +3 more
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Multi-Subject Image Retrieval by Fusing Object and Scene-Level Feature Embeddings
Applied Sciences, 2022 Most existing image retrieval methods separately retrieve single images, such as a scene, content, or object, from a single database. However, for general purposes, target databases for image retrieval can include multiple subjects because it is not easy
Chung-Gi Ban +5 more
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Learning Robotics: a Review [PDF]
Current Robotics Reports, 2020 With the growing interest for STEM/STEAM, new robotic platforms are being created with different characteristics, extras, and options. There are so many diverse solutions that it is difficult for a teacher/student to choose the ideal one. This paper intends to provide an analysis of the most common robotic platforms existent on the market.
Ribeiro, A. Fernando, Lopes, Gil
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Robots for Learning - R4L [PDF]
Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction, 2018 The Robots for Learning workshop series aims at advancing the research topics related to the use of social robots in educational contexts. The full-day workshop follows on previous events in Human-Robot Interaction conferences focusing on efforts to design, develop and test new robotics systems that help learners.
Wafa Johal +5 more
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Rule-Based Learning untuk Robot Humanoid T-FLoW Belajar Berjalan
Jurnal Elkomika, 2022 ABSTRAK Riset tentang penggunaan learning dalam motion robot humanoid telah banyak dilakukan di seluruh dunia. Salah satunya adalah melakukan learning gerakan berjalan pada robot.
FAIZ ULURRASYADI +3 more
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