[HTML][HTML] Human–robot collaboration and machine learning: A systematic review of recent research

F Semeraro, A Griffiths, A Cangelosi - Robotics and Computer-Integrated …, 2023 - Elsevier
Technological progress increasingly envisions the use of robots interacting with people in
everyday life. Human–robot collaboration (HRC) is the approach that explores the …

Cobot programming for collaborative industrial tasks: An overview

S El Zaatari, M Marei, W Li, Z Usman - Robotics and Autonomous Systems, 2019 - Elsevier
Collaborative robots (cobots) have been increasingly adopted in industries to facilitate
human–robot collaboration. Despite this, it is challenging to program cobots for collaborative …

Outlook on human-centric manufacturing towards Industry 5.0

Y Lu, H Zheng, S Chand, W **a, Z Liu, X Xu… - Journal of Manufacturing …, 2022 - Elsevier
The recent shift to wellbeing, sustainability, and resilience under Industry 5.0 has prompted
formal discussions that manufacturing should be human-centric–placing the wellbeing of …

Survey on human–robot collaboration in industrial settings: Safety, intuitive interfaces and applications

V Villani, F Pini, F Leali, C Secchi - Mechatronics, 2018 - Elsevier
Easy-to-use collaborative robotics solutions, where human workers and robots share their
skills, are entering the market, thus becoming the new frontier in industrial robotics. They …

Symbiotic human-robot collaborative assembly

L Wang, R Gao, J Váncza, J Krüger, XV Wang… - CIRP annals, 2019 - Elsevier
In human-robot collaborative assembly, robots are often required to dynamically change
their pre-planned tasks to collaborate with human operators in a shared workspace …

Action recognition based on RGB and skeleton data sets: A survey

R Yue, Z Tian, S Du - Neurocomputing, 2022 - Elsevier
Action recognition is a major branch of computer vision research. As a widely used
technology, action recognition has been applied to human–computer interaction, intelligent …

Kernelized movement primitives

Y Huang, L Rozo, J Silvério… - … International Journal of …, 2019 - journals.sagepub.com
Imitation learning has been studied widely as a convenient way to transfer human skills to
robots. This learning approach is aimed at extracting relevant motion patterns from human …

Disassembly sequence planning using discrete Bees algorithm for human-robot collaboration in remanufacturing

W Xu, Q Tang, J Liu, Z Liu, Z Zhou, DT Pham - Robotics and computer …, 2020 - Elsevier
Remanufacturing helps to improve the resource utilization rate and reduce the
manufacturing cost. Disassembly is a key step of remanufacturing and is always finished by …

Prodmp: A unified perspective on dynamic and probabilistic movement primitives

G Li, Z **, M Volpp, F Otto, R Lioutikov… - IEEE Robotics and …, 2023 - ieeexplore.ieee.org
Movement Primitives (MPs) are a well-known concept to represent and generate modular
trajectories. MPs can be broadly categorized into two types:(a) dynamics-based approaches …

Transferable two-stream convolutional neural network for human action recognition

Q **ong, J Zhang, P Wang, D Liu, RX Gao - Journal of Manufacturing …, 2020 - Elsevier
Abstract Human-Robot Collaboration (HRC), which enables a workspace where human and
robot can dynamically and safely collaborate for improved operational efficiency, has been …