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Progress and prospects of the human–robot collaboration
Recent technological advances in hardware design of the robotic platforms enabled the
implementation of various control modalities for improved interactions with humans and …
implementation of various control modalities for improved interactions with humans and …
Learning for a robot: Deep reinforcement learning, imitation learning, transfer learning
J Hua, L Zeng, G Li, Z Ju - Sensors, 2021 - mdpi.com
Dexterous manipulation of the robot is an important part of realizing intelligence, but
manipulators can only perform simple tasks such as sorting and packing in a structured …
manipulators can only perform simple tasks such as sorting and packing in a structured …
Physical human–robot interaction
Over the last two decades, the foundations for physical human–robot interaction (pHRI) have
evolved from successful developments in mechatronics, control, and planning, leading …
evolved from successful developments in mechatronics, control, and planning, leading …
Robot adaptation to human physical fatigue in human–robot co-manipulation
In this paper, we propose a novel method for human–robot collaboration, where the robot
physical behaviour is adapted online to the human motor fatigue. The robot starts as a …
physical behaviour is adapted online to the human motor fatigue. The robot starts as a …
Learning from humans
This chapter surveys the main approaches developed to date to endow robots with the
ability to learn from human guidance. The field is best known as robot programming by …
ability to learn from human guidance. The field is best known as robot programming by …
A human-robot collaboration framework for improving ergonomics during dexterous operation of power tools
In this work, we present a novel control approach to human-robot collaboration that takes
into account ergonomic aspects of the human co-worker during power tool operations. The …
into account ergonomic aspects of the human co-worker during power tool operations. The …
Skill transfer learning for autonomous robots and human–robot cooperation: A survey
Designing a robot system with reasoning and learning ability has gradually become a
research focus in robotics research field. Recently, Skill Transfer Learning (STL), ie, the …
research focus in robotics research field. Recently, Skill Transfer Learning (STL), ie, the …
A human–robot co-manipulation approach based on human sensorimotor information
This paper aims to improve the interaction and coordination between the human and the
robot in cooperative execution of complex, powerful, and dynamic tasks. We propose a …
robot in cooperative execution of complex, powerful, and dynamic tasks. We propose a …
A selective muscle fatigue management approach to ergonomic human-robot co-manipulation
In this paper, we propose a method for selective monitoring and management of human
muscle fatigue in human-robot co-manipulation scenarios. The proposed approach uses a …
muscle fatigue in human-robot co-manipulation scenarios. The proposed approach uses a …
Learning compliant manipulation through kinesthetic and tactile human-robot interaction
Robot Learning from Demonstration (RLfD) has been identified as a key element for making
robots useful in daily lives. A wide range of techniques has been proposed for deriving a …
robots useful in daily lives. A wide range of techniques has been proposed for deriving a …