Preethika Chivukula
Papers
1
Total Citations
1
H-Index
1
About
Preethika Chivukula is a pioneering researcher at the intersection of human-robot interaction and neurorehabilitation, with a primary focus on intent inferral for stroke recovery. Her work fundamentally reimagines how wearable robots interpret user intent from biosignals, challenging traditional unidirectional approaches. In her landmark 2025 paper, "Reciprocal Learning of Intent Inferral with Augmented Visual Feedback for Stroke," Chivukula introduces a paradigm-shifting framework where the learning process becomes bidirectional—the robot not only predicts user intent but also adapts through augmented visual feedback, creating a dynamic, co-adaptive system. This innovation promises to make robotic rehabilitation more intuitive and effective for stroke survivors. While her citation count is still growing, reflecting the recency of her contributions, her work has already garnered attention for its novel approach to closing the loop between human and machine learning. Chivukula’s research holds transformative potential for assistive technology, offering a glimpse into a future where wearable robots truly understand and respond to their users’ needs.
Research Focus
Key Achievements
Top Papers
- 1