Implementation of a Surface Electromyography-Based Upper Extremity Exoskeleton Controller Using Learning from Demonstration [PDF]
Sensors, 2018 Upper-extremity exoskeletons have demonstrated potential as augmentative, assistive, and rehabilitative devices. Typical control of upper-extremity exoskeletons have relied on switches, force/torque sensors, and surface electromyography (sEMG), but these
Ho Chit Siu +3 more
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Generalize Robot Learning From Demonstration to Variant Scenarios With Evolutionary Policy Gradient [PDF]
Frontiers in Neurorobotics, 2020 There has been substantial growth in research on the robot automation, which aims to make robots capable of directly interacting with the world or human. Robot learning for automation from human demonstration is central to such situation.
Junjie Cao +3 more
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Quick Setup of Force-Controlled Industrial Gluing Tasks Using Learning From Demonstration [PDF]
Frontiers in Robotics and AI, 2021 This paper presents a framework for programming in-contact tasks using learning by demonstration. The framework is demonstrated on an industrial gluing task, showing that a high quality robot behavior can be programmed using a single demonstration.
Iñigo Iturrate +2 more
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Nonprehensile Manipulation for Rapid Object Spinning via Multisensory Learning from Demonstration [PDF]
SensorsDexterous manipulation concerns the control of a robot hand to manipulate an object in a desired manner. While classical dexterous manipulation strategies are based on stable grasping (or force closure), many human-like manipulation tasks do not maintain
Ku Jin Shin, Soo Jeon
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Robot Grasp Planning: A Learning from Demonstration-Based Approach [PDF]
SensorsRobot grasping constitutes an essential capability in fulfilling the complexities of advanced industrial operations. This field has been extensively investigated to address a range of practical applications.
Kaimeng Wang +2 more
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Robot Learning from Demonstration in Robotic Assembly: A Survey
Robotics, 2018 Learning from demonstration (LfD) has been used to help robots to implement manipulation tasks autonomously, in particular, to learn manipulation behaviors from observing the motion executed by human demonstrators.
Zuyuan Zhu, Huosheng Hu
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A Formalism for Learning from Demonstration*
Paladyn, 2010 The paper describes and formalizes the concepts and assumptions involved in Learning from Demonstration (LFD), a common learning technique used in robotics.
Billing Erik A., Hellström Thomas
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Segment, Compare, and Learn: Creating Movement Libraries of Complex Task for Learning from Demonstration [PDF]
BiomimeticsMotion primitives are a highly useful and widely employed tool in the field of Learning from Demonstration (LfD). However, obtaining a large number of motion primitives can be a tedious process, as they typically need to be generated individually for ...
Adrian Prados +3 more
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A Practical Roadmap to Learning from Demonstration for Robotic Manipulators in Manufacturing
RoboticsThis paper provides a structured and practical roadmap for practitioners to integrate learning from demonstration (LfD) into manufacturing tasks, with a specific focus on industrial manipulators.
Alireza Barekatain +2 more
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Prediction-Based Human-Robot Collaboration in Assembly Tasks Using a Learning from Demonstration Model. [PDF]
Sensors (Basel), 2022 Zhang Z +5 more
europepmc +2 more sources