A survey of human-centered intelligent robots: issues and challenges
Intelligent techniques foster the dissemination of new discoveries and novel technologies
that advance the ability of robots to assist and support humans. The human-centered …
that advance the ability of robots to assist and support humans. The human-centered …
Design and management of assembly systems 4.0: systematic literature review and research agenda
A Dolgui, F Sgarbossa, M Simonetto - International Journal of …, 2022 - Taylor & Francis
Assembly systems (ASs) have moved into the era of mass customisation and Industry 4.0 (I4.
0). Mass customisation involves a shift from the production of high quantities of the same …
0). Mass customisation involves a shift from the production of high quantities of the same …
Heterogeneous domain adaptation through progressive alignment
In real-world transfer learning tasks, especially in cross-modal applications, the source
domain and the target domain often have different features and distributions, which are well …
domain and the target domain often have different features and distributions, which are well …
Finite-time bipartite synchronization of switched competitive neural networks with time delay via quantized control
Y Zou, H Su, R Tang, X Yang - ISA transactions, 2022 - Elsevier
This article tackles the finite-time bipartite synchronization (FTBS) of coupled competitive
neural networks (CNNs) with switching parameters and time delay. Quantized control is …
neural networks (CNNs) with switching parameters and time delay. Quantized control is …
An improved genetic algorithm with co-evolutionary strategy for global path planning of multiple mobile robots
H Qu, K Xing, T Alexander - Neurocomputing, 2013 - Elsevier
This paper presents a Co-evolutionary Improved Genetic Algorithm (CIGA) for global path
planning of multiple mobile robots, which employs a co-evolution mechanism together with …
planning of multiple mobile robots, which employs a co-evolution mechanism together with …
Optimal time-consuming path planning for autonomous underwater vehicles based on a dynamic neural network model in ocean current environments
M Chen, D Zhu - IEEE Transactions on Vehicular Technology, 2020 - ieeexplore.ieee.org
Path planning is a prerequisite for autonomous underwater vehicles to perform tasks
autonomously. Many shortest distance algorithms are applied, and ocean currents are …
autonomously. Many shortest distance algorithms are applied, and ocean currents are …
Bio-inspired intelligence with applications to robotics: a survey
In the past decades, considerable attention has been paid to bio-inspired intelligence and its
applications to robotics. This paper provides a comprehensive survey of bio-inspired …
applications to robotics. This paper provides a comprehensive survey of bio-inspired …
Cooperative multi-function approach: A new strategy for autonomous ground robotics
The paper presents multi-objective optimization technique for the exploration of unknown
space. Exploration refers to the building of an estimated finite map of the environment using …
space. Exploration refers to the building of an estimated finite map of the environment using …
An Overview of Nature‐Inspired, Conventional, and Hybrid Methods of Autonomous Vehicle Path Planning
Safe and smooth mobile robot navigation through cluttered environment from the initial
position to goal with optimal path is required to achieve intelligent autonomous ground …
position to goal with optimal path is required to achieve intelligent autonomous ground …
[HTML][HTML] Adaptive sliding mode trajectory tracking control for unmanned surface vehicle with modeling uncertainties and input saturation
B Qiu, G Wang, Y Fan, D Mu, X Sun - Applied Sciences, 2019 - mdpi.com
In the presence of modeling uncertainties and input saturation, this paper proposes a
practical adaptive sliding mode control scheme for an underactuated unmanned surface …
practical adaptive sliding mode control scheme for an underactuated unmanned surface …