C
Ching-Chih Tsai
Researcher at National Chung Hsing University
Publications - 227
Citations - 3538
Ching-Chih Tsai is an academic researcher from National Chung Hsing University. The author has contributed to research in topics: Control theory & Mobile robot. The author has an hindex of 27, co-authored 222 publications receiving 3202 citations. Previous affiliations of Ching-Chih Tsai include Northwestern University.
Papers
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FPGA-Based Parallel DNA Algorithm for Optimal Configurations of an Omnidirectional Mobile Service Robot Performing Fire Extinguishment
TL;DR: This efficient coarse-grain parallel deoxyribonucleic acid (PDNA) algorithm is proposed to search for the global optimum of the redundant inverse kinematics problem with minimal movement, thereby showing better population diversity and avoiding premature convergence.
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Ultrasonic Localization and Pose Tracking of an Autonomous Mobile Robot via Fuzzy Adaptive Extended Information Filtering
TL;DR: This paper presents methodologies and technologies for ultrasonic localization and pose tracking of an autonomous mobile robot (AMR) by using a fuzzy adaptive extended information filtering (FAEIF) scheme to improve estimation accuracy and robustness for the proposed localization system.
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Adaptive Robust Self-Balancing and Steering of a Two-Wheeled Human Transportation Vehicle
TL;DR: Numerical simulations and experimental results show that the proposed adaptive robust controllers are capable of achieving satisfactory control actions to steer the vehicle.
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Localization of an Autonomous Mobile Robot Based on Ultrasonic Sensory Information
Chia-Ju Wu,Ching-Chih Tsai +1 more
TL;DR: In the proposed method, it will be proven that the combination of three ultrasonic transmitters and two receivers can determine both the position and the orientation of an AMR with respect to a reference frame uniquely.
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Adaptive Robust Control of an Omnidirectional Mobile Platform for Autonomous Service Robots in Polar Coordinates
Hsu-Chih Huang,Ching-Chih Tsai +1 more
TL;DR: With the platform’s kinematic model and the motors’ dynamic model associated two unknown parameters, the adaptive robust controller is synthesized via the integral backstepping approach.