Stgat: Modeling spatial-temporal interactions for human trajectory prediction

Y Huang, H Bi, Z Li, T Mao… - Proceedings of the IEEE …, 2019 - openaccess.thecvf.com
Human trajectory prediction is challenging and critical in various applications (eg,
autonomous vehicles and social robots). Because of the continuity and foresight of the …

Human action recognition and prediction: A survey

Y Kong, Y Fu - International Journal of Computer Vision, 2022 - Springer
Derived from rapid advances in computer vision and machine learning, video analysis tasks
have been moving from inferring the present state to predicting the future state. Vision-based …

Desire: Distant future prediction in dynamic scenes with interacting agents

N Lee, W Choi, P Vernaza, CB Choy… - Proceedings of the …, 2017 - openaccess.thecvf.com
Abstract We introduce a Deep Stochastic IOC RNN Encoder-decoder framework, DESIRE,
for the task of future predictions of multiple interacting agents in dynamic scenes. DESIRE …

Technology jump in the industry: human–robot cooperation in production

Z Dobra, KS Dhir - Industrial Robot: the international journal of …, 2020 - emerald.com
Purpose Recent years have seen a technological change, Industry 4.0, in the manufacturing
industry. Human–robot cooperation, a new application, is increasing and facilitating …

A review of prospects and opportunities in disassembly with human–robot collaboration

ML Lee, X Liang, B Hu, G Onel… - Journal of …, 2024 - asmedigitalcollection.asme.org
Product disassembly plays a crucial role in the recycling, remanufacturing, and reuse of end-
of-use (EoU) products. However, the current manual disassembly process is inefficient due …

Control techniques for safe, ergonomic, and efficient human-robot collaboration in the digital industry: A survey

S Proia, R Carli, G Cavone… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The fourth industrial revolution, also known as Industry 4.0, is reshaping the way individuals
live and work while providing a substantial influence on the manufacturing scenario. The key …

Human motion prediction for human-robot collaboration

H Liu, L Wang - Journal of Manufacturing Systems, 2017 - Elsevier
In human-robot collaborative manufacturing, industrial robots would work alongside human
workers who jointly perform the assigned tasks seamlessly. A human-robot collaborative …

Collaborative assembly in hybrid manufacturing cells: An integrated framework for human–robot interaction

B Sadrfaridpour, Y Wang - IEEE Transactions on Automation …, 2017 - ieeexplore.ieee.org
Recent emergence of safe, lightweight, and flexible robots has opened a new realm for
human-robot collaboration in manufacturing. Utilizing such robots with the new human-robot …

Mx-lstm: mixing tracklets and vislets to jointly forecast trajectories and head poses

I Hasan, F Setti, T Tsesmelis… - Proceedings of the …, 2018 - openaccess.thecvf.com
Recent approaches on trajectory forecasting use tracklets to predict the future positions of
pedestrians exploiting Long Short Term Memory (LSTM) architectures. This paper shows …

Bayesian estimation of human impedance and motion intention for human–robot collaboration

X Yu, W He, Y Li, C Xue, J Li, J Zou… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
This article proposes a Bayesian method to acquire the estimation of human impedance and
motion intention in a human–robot collaborative task. Combining with the prior knowledge of …