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 …

COBOT applications—recent advances and challenges

C Taesi, F Aggogeri, N Pellegrini - Robotics, 2023 - mdpi.com
This study provides a structured literature review of the recent COllaborative roBOT
(COBOT) applications in industrial and service contexts. Several papers and research …

Learning physical collaborative robot behaviors from human demonstrations

L Rozo, S Calinon, DG Caldwell… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
Robots are becoming safe and smart enough to work alongside people not only on
manufacturing production lines, but also in spaces such as houses, museums, or hospitals …

Impedance variation and learning strategies in human–robot interaction

M Sharifi, A Zakerimanesh, JK Mehr… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
In this survey, various concepts and methodologies developed over the past two decades for
varying and learning the impedance or admittance of robotic systems that physically interact …

A learning-based hierarchical control scheme for an exoskeleton robot in human–robot cooperative manipulation

M Deng, Z Li, Y Kang, CLP Chen… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Exoskeleton robots can assist humans to perform activities of daily living with little effort. In
this paper, a hierarchical control scheme is presented which enables an exoskeleton robot …

A constrained DMPs framework for robot skills learning and generalization from human demonstrations

Z Lu, N Wang, C Yang - IEEE/ASME Transactions on …, 2021 - ieeexplore.ieee.org
The dynamical movement primitives (DMPs) model is a useful tool for efficient robotic
learning manipulation skills from human demonstrations and then generalizing these skills …

Learning optimal controllers in human-robot cooperative transportation tasks with position and force constraints

L Rozo, D Bruno, S Calinon… - 2015 IEEE/RSJ …, 2015 - ieeexplore.ieee.org
Human-robot collaboration seeks to have humans and robots closely interacting in everyday
situations. For some tasks, physical contact between the user and the robot may occur …

Learning compliant movement primitives through demonstration and statistical generalization

M Deniša, A Gams, A Ude… - IEEE/ASME transactions on …, 2015 - ieeexplore.ieee.org
In this paper, we address the problem of simultaneously achieving low trajectory tracking
errors and compliant control without using explicit mathematical models of task dynamics. To …

Iterative path optimisation for personalised dressing assistance using vision and force information

Y Gao, HJ Chang, Y Demiris - 2016 IEEE/RSJ international …, 2016 - ieeexplore.ieee.org
We propose an online iterative path optimisation method to enable a Baxter humanoid robot
to assist human users to dress. The robot searches for the optimal personalised dressing …

Learning skills from demonstrations: A trend from motion primitives to experience abstraction

M Tavassoli, S Katyara, M Pozzi… - … on Cognitive and …, 2023 - ieeexplore.ieee.org
The uses of robots are changing from static environments in factories to encompass novel
concepts such as human–robot collaboration in unstructured settings. Preprogramming all …