Robotics utilization in automatic vision-based assessment systems from artificial intelligence perspective: A systematic review
This study presents a systematic review of the automatic vision-based assessment systems
and models from related fields over the last 6 years. Many studies focus on automatic vision …
and models from related fields over the last 6 years. Many studies focus on automatic vision …
Ground robots for inspection and monitoring: A state-of-the-art review
D Huamanchahua, D Yalli-Villa… - 2021 IEEE 12th …, 2021 - ieeexplore.ieee.org
The concept of mobile robotics has had great growth since the 60-70 decade, being created
the Shakey robot as one of the first, followed by the Newt robot and the Hilare robot. In …
the Shakey robot as one of the first, followed by the Newt robot and the Hilare robot. In …
Humanoid robots play chess using visual control
LH Juang - Multimedia Tools and Applications, 2022 - Springer
This paper mainly considers the humanoid robot vision system and the type of its joint
structure, and designs a set of effective planning strategies for the robots grabbing the chess …
structure, and designs a set of effective planning strategies for the robots grabbing the chess …
Elephant detection using boundary sense deep learning (BSDL) architecture
JSA Dhanaraj, A Kumar Sangaiah - Journal of Experimental & …, 2021 - Taylor & Francis
Elephant entry in human settlements causes a major threat to human–elephant conflict
(HEC), but the rapid detection thereof while crossing boundary remains a difficult role, due to …
(HEC), but the rapid detection thereof while crossing boundary remains a difficult role, due to …
A variational Bayesian Gaussian mixture-nonnegative matrix factorization model to extract movement primitives for robust control
Nonnegative matrix factorization (NMF) is a powerful tool for parameter estimation applied in
numerous robotics applications, such as path planning, motion trajectory prediction, and …
numerous robotics applications, such as path planning, motion trajectory prediction, and …
[PDF][PDF] Convolutional neural network based hand gesture recognition in sophisticated background for humanoid robot control.
Hand gesture recognition is a preferred way for human-robot interactions. Conventional
approaches are generally based on image processing and recognition of hand poses with …
approaches are generally based on image processing and recognition of hand poses with …