Progress and prospects of the human–robot collaboration

A Ajoudani, AM Zanchettin, S Ivaldi, A Albu-Schäffer… - Autonomous …, 2018 - Springer
Recent technological advances in hardware design of the robotic platforms enabled the
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 …

Physical human–robot interaction

S Haddadin, E Croft - Springer handbook of robotics, 2016 - Springer
Over the last two decades, the foundations for physical human–robot interaction (pHRI) have
evolved from successful developments in mechatronics, control, and planning, leading …

Robot adaptation to human physical fatigue in human–robot co-manipulation

L Peternel, N Tsagarakis, D Caldwell, A Ajoudani - Autonomous Robots, 2018 - Springer
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 …

Learning from humans

AG Billard, S Calinon, R Dillmann - Springer handbook of robotics, 2016 - Springer
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 …

A human-robot collaboration framework for improving ergonomics during dexterous operation of power tools

W Kim, L Peternel, M Lorenzini, J Babič… - Robotics and Computer …, 2021 - Elsevier
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 …

Skill transfer learning for autonomous robots and human–robot cooperation: A survey

Y Liu, Z Li, H Liu, Z Kan - Robotics and Autonomous Systems, 2020 - Elsevier
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 …

A human–robot co-manipulation approach based on human sensorimotor information

L Peternel, N Tsagarakis… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
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 …

A selective muscle fatigue management approach to ergonomic human-robot co-manipulation

L Peternel, C Fang, N Tsagarakis, A Ajoudani - Robotics and Computer …, 2019 - Elsevier
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 …

Learning compliant manipulation through kinesthetic and tactile human-robot interaction

K Kronander, A Billard - IEEE transactions on haptics, 2013 - ieeexplore.ieee.org
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 …