[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 …

[HTML][HTML] Robot learning towards smart robotic manufacturing: A review

Z Liu, Q Liu, W Xu, L Wang, Z Zhou - Robotics and Computer-Integrated …, 2022‏ - Elsevier
Robotic equipment has been playing a central role since the proposal of smart
manufacturing. Since the beginning of the first integration of industrial robots into production …

[HTML][HTML] Towards industrial robots as a service (IRaaS): Flexibility, usability, safety and business models

A Buerkle, W Eaton, A Al-Yacoub, M Zimmer… - Robotics and Computer …, 2023‏ - Elsevier
Industrial robots form an integral part of today's manufacturing industry, due to their high
versatility, precision, and fatigue proof nature. Yet, many small and medium sized …

[HTML][HTML] Sensorless force estimation for industrial robots using disturbance observer and neural learning of friction approximation

S Liu, L Wang, XV Wang - Robotics and Computer-Integrated …, 2021‏ - Elsevier
Contact force estimation enables robots to physically interact with unknown environments
and to work with human operators in a shared workspace. Most heavy-duty industrial robots …

Multi-agent reinforcement learning method for disassembly sequential task optimization based on human–robot collaborative disassembly in electric vehicle battery …

J **ao, J Gao, N Anwer… - Journal of …, 2023‏ - asmedigitalcollection.asme.org
With the wide application of new Electric Vehicle (EV) batteries in various industrial fields, it
is important to establish a systematic intelligent battery recycling system that can be used to …

[HTML][HTML] Collaborative robot dynamics with physical human–robot interaction and parameter identification with PINN

X Yang, Z Zhou, L Li, X Zhang - Mechanism and Machine Theory, 2023‏ - Elsevier
Collaborative robots are increasingly being used in dynamic and semi-structured
environments because of their ability to perform physical Human–Robot Interaction (pHRI) to …

Colabar: A toolkit for remote collaboration in tangible augmented reality laboratories

A Villanueva, Z Zhu, Z Liu, F Wang… - Proceedings of the …, 2022‏ - dl.acm.org
Current times are accelerating new technologies to provide high-quality education for
remote collaboration, as well as hands-on learning. This is particularly important in the case …

Multimodal data-driven robot control for human–robot collaborative assembly

S Liu, L Wang, X Vincent Wang - Journal of …, 2022‏ - asmedigitalcollection.asme.org
In human–robot collaborative assembly, leveraging multimodal commands for intuitive robot
control remains a challenge from command translation to efficient collaborative operations …

No-code robotic programming for agile production: A new markerless-approach for multimodal natural interaction in a human-robot collaboration context

J Halim, P Eichler, S Krusche, M Bdiwi… - Frontiers in Robotics …, 2022‏ - frontiersin.org
Industrial robots and cobots are widely deployed in most industrial sectors. However, robotic
programming still needs a lot of time and effort in small batch sizes, and it demands specific …

A vision-based human-robot collaborative system for digital twin

S Yi, S Liu, X Xu, XV Wang, S Yan, L Wang - Procedia CIRP, 2022‏ - Elsevier
Flexible and safe human-robot collaboration depends on accurately capturing the three-
dimensional motion of humans and robots in the field of smart manufacturing. In this paper, a …