Chih-Hung G. Li

Orcid: 0000-0001-9302-1422

Affiliations:
  • National Taipei University of Technology, Taipei, Taiwan


According to our database1, Chih-Hung G. Li authored at least 21 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
3-D Precision Positioning Based on Deep Comparison Convolutional Neural Networks.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2023

Enhancing Indoor Auto-Steering for AMRs through RGB and Depth Fusion.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2023

Real-Time Visual-Servo Navigation for Map-Free Self-Driving in Unstructured Outdoor Environments.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2023

2022
A Versatile Object Pick-Up System Featuring Grip-Suction-Pinch Design Integration and Depth Vision Automation.
Proceedings of the International Conference on Advanced Robotics and Mechatronics , 2022

Autonomous Mobile Robot as a Cyber-Physical System Featuring Networked Deep Learning and Control.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2022

Cascaded Deep Search: Achieving High Object Localization Precision for Roughly Positioned Autonomous Mobile Manipulator.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2022

ATopNet: Robust Visual Localization for AMR Navigation.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2022

2021
Real-Time Rain Detection and Wiper Control Employing Embedded Deep Learning.
IEEE Trans. Veh. Technol., 2021

Enhancement of Visual Place Recognition for Robot Localization Subject to Pedestrian Occlusion.
Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021

Socially Compliant Navigation in Indoor Corridors Based on Reinforcement Learning.
Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021

Mobility Improvement on the Two-Wheeled Dynamically Balanced Robot - $\mathrm{J}4.\beta$.
Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021

2020
Development of Compound Fault Diagnosis System for Gearbox Based on Convolutional Neural Network.
Sensors, 2020

Real-time topological localization using structured-view ConvNet with expectation rules and training renewal.
Robotics Auton. Syst., 2020

Deep-Learning Rain Detection and Wiper Control Featuring Gaussian Extraction.
Proceedings of the International Conference on Technologies and Applications of Artificial Intelligence, 2020

Training End-to-End Steering of a Self-Balancing Mobile Robot Based on RGB-D Image and Deep ConvNet.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2020

2019
Illumination-Robust Object Coordinate Detection by Adopting Pix2Pix GAN for Training Image Generation.
Proceedings of the 2019 International Conference on Technologies and Applications of Artificial Intelligence, 2019

Visual-Guided Robot Arm Using Self-Supervised Deep Convolutional Neural Networks.
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019

Embedded-Based Object Matching and Robot Arm Control.
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019

Video-Based Windshield Rain Detection and Wiper Control Using Holistic-View Deep Learning.
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019

Real-time Visual-Based Localization for Mobile Robot Using Structured-View Deep Learning.
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019

Real-Time Object Coordinate Detection and Manipulator Control Using Rigidly Trained Convolutional Neural Networks.
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019


  Loading...