國際研討會論文

 

1.  Hsin-Chih Hsieh and Chih-Hung G. Li*, “Autonomous Building Entry Integrating ConvNet Object Detection and Cascaded Navigation Control,” in Proc. 2024 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM 2024), 2024/07/11-07/15, Boston, MA, USA, pp. 603-608.

2.    Javier Viteri and Chih-Hung G. Li*, “Autonomous Sidewalk Navigation Featuring End-to-End RGB-D Dual-ConvNet Steering,” in Proc. 2024 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM 2024), 2024/07/11-07/15, Boston, MA, USA, pp. 703-708.

3.    Yu-Cheng Zhao, Cody Leeheng Chan, and Chih-Hung G. Li*, “Automated Malabar Chestnut Planting Machine with Deep Learning Visual Recognition and Innovative Mechanisms,” in Proc. 2024 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM 2024), 2024/07/11-07/15, Boston, MA, USA, pp. 1258-1263.

4.    Feng-Ze Zhan, Zheng-An Chen, Pei-Zhen Chen, Bo-Yan Lu, and Chih-Hung G. Li*, “Universal Defect Inspection based on Dual-Input Deep Comparison Convolutional Neural Network,” in the 20th International Conference on Automation Technology (Automation 2023), 2023/12/08-10, Taipei, Taiwan, #1069.

5.    Bor-Haur Lin, Wei He, Kai-Jung Shih, Chih-Hung Li, and Jenn-Jier James Lien*, “Piles of Objects Detection for Grasping System Using Modified RGB-D MobileNetV3,” in Proc. International Conference on Advanced Robotics and Intelligent Systems (ARIS 2023), 2023/08/30-09/01, Taipei, Taiwan, #1085.

6.    Chi-Hsuan Lee and Chih-Hung G. Li*, “Enhancing Indoor Auto-Steering for AMRs through RGB and Depth Fusion,” in Proc. 2023 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM 2023), 2023/06/27-07/01, Seattle, USA, pp. 483-488.

7.    Ho-Feng Chang and Chih-Hung G. Li*, “Real-Time Visual-Servo Navigation for Map-Free Self-Driving in Unstructured Outdoor Environments,” in Proc. 2023 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM 2023), 2023/06/27-07/01, Seattle, USA, pp. 489-494.

8.    Bo-Xu Wen and Chih-Hung G. Li*, 3-D Precision Positioning Based on Deep Comparison Convolutional Neural Networks,” in Proc. 2023 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM 2023), 2023/06/27-07/01, Seattle, USA, pp. 1330-1335.

9.    Chia-Jui Yang, Bo-Xu Wen, Chih-Hung G. Li*, “A Deep Comparison Network for Visual Prognosis of a Linear Slide,” in Proc. International Conference on Advanced Robotics and Intelligent Systems (ARIS 2022), 2022/08/24-27, Taipei, Taiwan, #1070.

10.  Hsin-Hung Chen and Chih-Hung G. Li*, “ATopNet: Robust Visual Localization for AMR Navigation,” in Proc. 2022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM 2022), 2022/07/11-15, Saporro, Japan, pp. 275-281.

11.  Hong-Zhi Lin, Hsin-Hung Chen, Kerk Choophutthakan, and Chih-Hung G. Li*, “Autonomous Mobile Robot as a Cyber-Physical System Featuring Networked Deep Learning and Control,” in Proc. 2022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM 2022) 2022/07/11-15, Saporro, Japan, pp. 268-274.

12.  Kerk Choophutthakan, Hong-Zhi Lin, Chih-Hung G. Li*, “Cascaded Deep Search: Achieving High Object Localization Precision for Roughly Positioned Autonomous Mobile Manipulator,” in Proc. 2022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM 2022) 2022/07/11-15, Saporro, Japan, pp. 262-267.

13.  Tung-Ying Ku, Antonio P. Doroliat, and Chih-Hung G. Li*, “A Versatile Object Pick-Up System Featuring Grip-Suction-Pinch Design Integration and Depth Vision Automation,” in Proc. 2022 IEEE International Conference on Advanced Robotics and Mechatronics (ICARM), 2022/07/9-11, Guilin, China, pp. 290-295.

14.  Yu-Jen Li, Chih-Hung G. Li*, “Place recognition enhancement for autonomous mobile robot: box bounding vs. pixel segmentation,” International Conference on Advanced Robotics and Intelligent Systems (ARIS 2021), 2021/08/17-21, Taipei, Taiwan, #1011.

15.  Wei-Chih Chen, Chih-Hung G. Li*,   “Task-oriented automatic steering for AMR utilizing depth vision deep learning,” International Conference on Advanced Robotics and Intelligent Systems (ARIS 2021), 2021/08/17-21, Taipei, Taiwan, #1060.

16.  Jui-Ting Wu, Chih-Hung G. Li*, “3D shadow-robust visual object detection,” International Conference on Advanced Robotics and Intelligent Systems (ARIS 2021), 2021/08/17-21, Taipei, Taiwan, #1012.

17.  Ming-Hsun Ying, Chih-Hung G. Li*, “Optimization of Mecanum Wheels for mitigation of AGV vibration,” International Conference on Advanced Robotics and Intelligent Systems (ARIS 2021), 2021/08/17-21, Taipei, Taiwan, #1013.

18.  Antonio P. Doroliat, Chih-Hung G. Li, Wan-Jen Li, Jenn-Jier J. Lien*,   “Detection of piled objects using RGB-D Faster R-CNN,”    International Conference on Advanced Robotics and Intelligent Systems (ARIS 2021), 2021/08/17-21, Taipei, Taiwan, #1014.

19.  Chih-Hung G. Li*, Yu-Hsiang Chang, “Socially compliant navigation in indoor corridors based on reinforcement learning,” in Proc. IEEE CASE 2021–International Conference on Automation Science and Engineering, (CASE 2021), 2021/08/23-27, Lyon, France,   pp. 1985-1990.

20.  Yu-Jen Li, Hsin-Hung Chen, and Chih-Hung G. Li*, “Enhancement of visual place recognition for robot localization subject to pedestrian occlusion,” in Proc. IEEE CASE　2021 – International Conference on Automation Science and Engineering, (CASE 2021), 2021/08/23-27, Lyon, France. pp. 348-353.

21.  Yu-Cheng Hsu, Ming-Chang Lin, and Chih-Hung G. Li*, “Mobility improvement on the two-wheeled dynamically balanced robot – J4,” in Proc. IEEE CASE　2021–International Conference on Automation Science and Engineering, (CASE 2021), 2021/08/23-27, Lyon, France. pp. 442-447.

22.  Yu-Tang Huang, Chih-Hung G. Li*, Chi-Cheng Lai, “Deep-learning rain detection and wiper control featuring Gaussian extraction,” in Proc. 25th International Conference on Technologies and Applications of Artificial Intelligence (TAAI 2020), 2020/12/3-5, Taipei, Taiwan, pp. 153-158.

23.  Chen C and Li C*, “Design and implementation of multi-parameter wireless control of mobile robots based on LoRa,” The 17th International Conference on Automation Technology (Automation 2020), 2020/11/12-14, Hualien, Taiwan, 1071.

24.  Chih-Hung G. Li* and Long-Ping Zhou, “Training End-to-End Steering of a Self-Balancing Mobile Robot Based on RGB-D Image and Deep ConvNet,” in Proc. 2020 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM 2020), 2020/7/6-10, Boston, USA, pp. 898-903.

25.  K. W. Chen, Y. T. Huang, C. G. Li*, “A Comparison of Embedded Computations for ConvNet-Based Windshield Rain Detection,” 16th International Conference on Automation Technology (Automation 2019), 2019/11/22-24, Taipei, Taiwan, pp. 242-247.

26.  Y. H. Huang, C. G. Li*, Y. M. Chang, “Illumination-Robust Object Coordinate Detection by Adopting Pix2Pix GAN for Training Image Generation,” in Proc. 2019 The 24th International Conference on Technologies and Applications of Artificial Intelligence (TAAI 2019), 2019/11/21-23, Kaohsiung, Taiwan, F1-03.

27.  A. P. Doroliat and C. G. Li*, “Development and Characterization of an Electromagnet-Based Artificial Muscle,” in International Multi-Conference on Engineering and Technology Innovation (IMETI 2019), 2019/11/15-19, Kaohsiung, Taiwan, pp. 111, WB9001.

28.  Yi-Feng Hong, Yu-Ming Chang, and Chih-Hung G. Li*, “Real-time Visual-Based Localization for Mobile Robot Using Structured-View Deep Learning,” in Proc. IEEE CASE　2019–International Conference on Automation Science and Engineering, (CASE 2019), 2019/8/22-26, Vancouver, Canada, pp. 1353-1358.

29.  Chi-Cheng Lai and Chih-Hung G. Li*, “Video-Based Windshield Rain Detection and Wiper Control Using Holistic-View Deep Learning,” in Proc. IEEE CASE　2019–International Conference on Automation Science and Engineering, (CASE 2019), 2019/8/22-26, Vancouver, Canada, pp. 1060-1065.

30.  Y.-M. Chang, C. G. Li*, and Y.-F. Hong, “Real-time Object Coordinate Detection and Manipulator Control Using Rigidly Trained Convolutional Neural Networks,” in Proc. IEEE CASE　2019–International Conference on Automation Science and Engineering, (CASE 2019), 2019/8/22-26, Vancouver, Canada, pp. 1347-1352.

                                  

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