Review of task allocation for human-robot collaboration in assembly

C Petzoldt, M Harms, M Freitag - International Journal of Computer …, 2023 - Taylor & Francis
Due to the high cost pressure and the increasing variant diversity, the cooperation of
humans and robots represents a promising technological solution to achieve higher …

Emotional intelligence for the decision-making process of trajectories in collaborative robotics

MG Antonelli, P Beomonte Zobel, C Manes, E Mattei… - Machines, 2024 - mdpi.com
In collaborative robotics, to improve human–robot interaction (HRI), it is necessary to avoid
accidental impacts. In this direction, several works reported how to modify the trajectories of …

Task-constrained motion planning considering uncertainty-informed human motion prediction for human–robot collaborative disassembly

W Liu, X Liang, M Zheng - IEEE/ASME Transactions on …, 2023 - ieeexplore.ieee.org
While the disassembly of high-precision electronic devices is a predominantly labor-
intensive process, collaborative robots provide a promising solution through human–robot …

Dynamic model informed human motion prediction based on unscented kalman filter

W Liu, X Liang, M Zheng - IEEE/ASME Transactions on …, 2022 - ieeexplore.ieee.org
Human motion prediction is the foundation stone of human–robot collaboration in intelligent
manufacturing. The nonlinear and stochastic nature of human motion has made it …

Transfusion: A practical and effective transformer-based diffusion model for 3d human motion prediction

S Tian, M Zheng, X Liang - IEEE Robotics and Automation …, 2024 - ieeexplore.ieee.org
Predicting human motion plays a crucial role in ensuring a safe and effective human-robot
close collaboration in intelligent remanufacturing systems of the future. Existing works can …

Human activity recognition in an end-of-life consumer electronics disassembly task

Y Chen, HY Liao, S Behdad, B Hu - Applied Ergonomics, 2023 - Elsevier
The production of electronic waste, also known as e-waste, has risen with the growing
reliance on electronic products. To reduce negative environmental impact and achieve …

A learning based hierarchical control framework for human–robot collaboration

Z **, A Liu, WA Zhang, L Yu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this paper, using the ball and beam system as an illustration, a control scheme is
developed on human-robot collaboration, ie, a two-level hierarchical framework is proposed …

An optimization-based human behavior modeling and prediction for human-robot collaborative disassembly

S Tian, X Liang, M Zheng - 2023 American Control Conference …, 2023 - ieeexplore.ieee.org
To achieve a safe and seamless human-robot collaboration in intelligent remanufacturing,
robot agents should be able to understand human behaviors, predict human future motion …

Uncertainty‐aware structural damage warning system using deep variational composite neural networks

KA Eltouny, X Liang - Earthquake Engineering & Structural …, 2023 - Wiley Online Library
Structural health monitoring (SHM) is, without a doubt, one of the most important assets for
building resilient communities. The vast and rapidly advancing research in data science and …

De-tgn: Uncertainty-aware human motion forecasting using deep ensembles

KA Eltouny, W Liu, S Tian, M Zheng… - IEEE Robotics and …, 2024 - ieeexplore.ieee.org
Ensuring the safety of human workers in a collaborative environment with robots is of utmost
importance. Although accurate pose prediction models can help prevent collisions between …