Ngoc-Tram Ha
Papers
1
Total Citations
4
H-Index
1
About
Ngoc-Tram Ha is a robotics researcher whose work focuses on the intersection of manipulation, assistive technology, and simulation-to-reality transfer. Her primary research areas include robot-assisted feeding, soft object manipulation, and real2sim2real frameworks. Ha's major contribution is the development of REPeat, a novel Real2Sim2Real approach that pre-acquires soft food items to improve bite acquisition success in robot-assisted feeding. By introducing pre-acquisition actions like pushing, cutting, and flipping, her work addresses a critical challenge in assistive robotics—handling deformable, unpredictable food items. This framework enhances the reliability of skewering, scooping, and twirling actions, directly impacting the quality of life for individuals with motor impairments. With 4 citations since its 2024 publication, REPeat has already garnered attention for its practical, human-centered approach. Ha's work stands out for its innovative use of simulation to bridge the gap between controlled environments and real-world variability, offering a scalable solution for robotic caregivers. Her research exemplifies how careful task decomposition and simulation can unlock new capabilities in assistive robotics, making daily living tasks more accessible.
Research Focus
Key Achievements
Top Papers
- 1