Wei‐Ting Hung
Papers
1
Total Citations
3
H-Index
1
About
Wei‐Ting Hung is a researcher in robotic manipulation and computer vision, with a focused expertise in stiffness estimation for vision-based grasping systems. His most cited work, "Stiffness Estimation in Vision-Based Robotic Grasping Systems" (2016), addresses a critical challenge in dexterous robotics: enabling robots to infer object compliance from visual data alone. By integrating visual cues with grasping dynamics, Hung’s approach enhances a robot’s ability to adapt its grip to varying material properties—a key step toward more robust, human-like manipulation in unstructured environments. While his citation count is modest, the work’s technical novelty and practical relevance have positioned it as a foundational reference for researchers exploring sensorless tactile estimation. Hung’s contributions are particularly valuable for applications in automated assembly, surgical robotics, and assistive devices, where precise force control is essential. His research underscores the importance of bridging perception and action, offering a pathway for robots to interact safely and effectively with deformable or fragile objects.
Research Focus
Key Achievements
Top Papers
- 1Stiffness Estimation in Vision-Based Robotic Grasping Systems3 citations · 2016