His main research concerns Mobile robot, Artificial neural network, Motion planning, Artificial intelligence and Control theory. His Mobile robot research includes themes of Fuzzy control system, Stability, Dynamic programming, Robot manipulator and Point. His work in the fields of Recurrent neural network overlaps with other areas such as Cracking.
To a larger extent, Simon X. Yang studies Robot with the aim of understanding Motion planning. His research in the fields of Robotics overlaps with other disciplines such as Magnetic resonance imaging. In his research, Tracking, Filter design and Sensitivity is intimately related to Control engineering, which falls under the overarching field of Control theory.
Simon X. Yang spends much of his time researching Artificial intelligence, Artificial neural network, Control theory, Mobile robot and Robot. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Machine learning, Computer vision and Pattern recognition. His work in Artificial neural network tackles topics such as Type which are related to areas like Mathematical optimization.
His Control theory research focuses on Control engineering and how it connects with Tracking, Motion control and Control. As a member of one scientific family, Simon X. Yang mostly works in the field of Mobile robot, focusing on Motion planning and, on occasion, Real-time computing. The Control theory study combines topics in areas such as Tracking system and Trajectory.
Simon X. Yang mostly deals with Artificial intelligence, Control theory, Artificial neural network, Motion planning and Robot. The study incorporates disciplines such as Machine learning, Computer vision and Pattern recognition in addition to Artificial intelligence. His work in Artificial neural network covers topics such as Real-time computing which are related to areas like Wireless sensor network, Field and Network packet.
His Motion planning research is multidisciplinary, relying on both Marine engineering, Task and Obstacle avoidance. His work on Robot kinematics and Mobile robot as part of general Robot research is frequently linked to Adhesive, thereby connecting diverse disciplines of science. The concepts of his Robot kinematics study are interwoven with issues in Control engineering and Underactuation.
Simon X. Yang focuses on Artificial intelligence, Control theory, Artificial neural network, Robot and Wireless sensor network. His Artificial intelligence research integrates issues from Genetic algorithm, Computer vision and Pattern recognition. His study in Turret extends to Control theory with its themes.
His work deals with themes such as Real-time computing and Trajectory, which intersect with Artificial neural network. His study in the field of Workspace also crosses realms of Gecko and Adhesive. Mobile robot covers Simon X. Yang research in Mobile robot navigation.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
A neural network approach to complete coverage path planning
S.X. Yang;C. Luo.
systems man and cybernetics (2004)
A knowledge based genetic algorithm for path planning of a mobile robot
Yanrong Hu;S.X. Yang.
international conference on robotics and automation (2004)
An efficient neural network approach to dynamic robot motion planning
Simon X. Yang;Max Meng.
Neural Networks (2000)
Neural network approaches to dynamic collision-free trajectory generation
S.X. Yang;M. Meng.
systems man and cybernetics (2001)
Genetic algorithm based path planning for a mobile robot
Jianping Tu;S.X. Yang.
international conference on robotics and automation (2003)
A Bioinspired Neural Network for Real-Time Concurrent Map Building and Complete Coverage Robot Navigation in Unknown Environments
Chaomin Luo;S.X. Yang.
IEEE Transactions on Neural Networks (2008)
Dynamic Task Assignment and Path Planning of Multi-AUV System Based on an Improved Self-Organizing Map and Velocity Synthesis Method in Three-Dimensional Underwater Workspace
Daqi Zhu;Huan Huang;S. X. Yang.
IEEE Transactions on Systems, Man, and Cybernetics (2013)
Real-time collision-free motion planning of a mobile robot using a Neural Dynamics-based approach
S.X. Yang;M.Q.-H. Meng.
IEEE Transactions on Neural Networks (2003)
Neurofuzzy-Based Approach to Mobile Robot Navigation in Unknown Environments
Anmin Zhu;S.X. Yang.
systems man and cybernetics (2007)
An efficient dynamic system for real-time robot-path planning
A.R. Willms;S.X. Yang.
systems man and cybernetics (2006)
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