[HTML][HTML] Proactive human–robot collaboration: Mutual-cognitive, predictable, and self-organising perspectives

S Li, P Zheng, S Liu, Z Wang, XV Wang, L Zheng… - Robotics and Computer …, 2023 - Elsevier
Abstract Human–Robot Collaboration (HRC) has a pivotal role in smart manufacturing for
strict requirements of human-centricity, sustainability, and resilience. However, existing HRC …

A human-centric metaverse enabled by brain-computer interface: A survey

HY Zhu, NQ Hieu, DT Hoang… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
The growing interest in the Metaverse has generated momentum for members of academia
and industry to innovate toward realizing the Metaverse world. The Metaverse is a unique …

Human-robot collaboration based on cyber-physical production system and mqtt

CA Garcia, W Montalvo-Lopez, MV Garcia - Procedia manufacturing, 2020 - Elsevier
A new trend in robotic cells is the Human-Robot Collaboration (HRC) in which robots and
humans work together. Cyber-Physical Production Systems (CPPS) and Industrial Internet of …

Human-robot collaborative task planning using anticipatory brain responses

SK Ehrlich, E Dean-Leon, N Tacca, S Armleder… - Plos one, 2023 - journals.plos.org
Human-robot interaction (HRI) describes scenarios in which both human and robot work as
partners, sharing the same environment or complementing each other on a joint task. HRI is …

Computational model of robot trust in human co-worker for physical human-robot collaboration

Q Wang, D Liu, MG Carmichael… - IEEE Robotics and …, 2022 - ieeexplore.ieee.org
Trust is key to achieving successful Human-Robot Interaction (HRI). Besides trust of the
human co-worker in the robot, trust of the robot in its human co-worker should also be …

Detection and Estimation of Cognitive Conflict During Physical Human–Robot Collaboration

S Aldini, AK Singh, D Leong, YK Wang… - … on Cognitive and …, 2022 - ieeexplore.ieee.org
Robots for physical human–robot collaboration (pHRC) often need to adapt their admittance
and how they operate due to several factors. As the admittance of the system becomes …

A control scheme for physical human-robot interaction coupled with an environment of unknown stiffness

HY Li, AG Dharmawan, I Paranawithana… - Journal of Intelligent & …, 2020 - Springer
Variable admittance control is commonly used for a collaborative robot to achieve the
compliant or accurate cooperation according to human's intention. However, existing …

Guiding Soft Robots with Motor-Imagery Brain Signals and Impedance Control

M Stölzle, SS Baberwal, D Rus, S Coyle… - 2024 IEEE 7th …, 2024 - ieeexplore.ieee.org
Integrating Brain-Machine Interfaces into non-clinical applications like robot motion control
remains difficult-despite remarkable advancements in clinical settings. Specifically, EEG …

Prediction of cognitive conflict during unexpected robot behavior under different mental workload conditions in a physical human–robot collaboration

AR John, AK Singh, K Gramann, D Liu… - Journal of Neural …, 2024 - iopscience.iop.org
Objective. Brain–computer interface (BCI) technology is poised to play a prominent role in
modern work environments, especially a collaborative environment where humans and …

EEG peak detection in cognitive conflict processing using summit navigator and clustering-based ranking

TH Dinh, AK Singh, NL Trung… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Correct detection of peaks in electroencephalogram (EEG) signals is of essence due to the
significant correlation of those potentials with cognitive performance and disorders. This …