Ri-Wei Deng
Papers
2
Total Citations
10
H-Index
2
About
Ri-Wei Deng has made focused and impactful contributions to the field of intelligent home-service robotics, specializing in real-time object recognition and autonomous human-robot interaction. His most cited work, "Implementation of real-time object recognition system for home-service robot by integrating SURF and BRISK" (2014, 7 citations), introduces a hybrid vision system that combines SURF and BRISK algorithms with CUDA acceleration, enabling a robot to efficiently recognize known objects while also searching for unknown ones—a critical capability for practical domestic assistance. In a second key study (2013, 3 citations), Deng advanced human-following technology by fusing fuzzy head motion control with Q-learning wheel motion control, using TLD and Kinect skeleton tracking for robust visual servoing. These works demonstrate his ability to integrate computer vision, machine learning, and embedded systems to solve real-world challenges in service robotics. While his citation counts reflect a specialized, early-career impact, his research lays important groundwork for more adaptive and responsive home robots, particularly in object handling and human-robot collaboration.
Research Focus
Key Achievements
Top Papers
- 1
- 2