Garima Kankariya
Papers
1
Total Citations
6
H-Index
1
About
Garima Kankariya is a rising researcher at the forefront of human-robot interaction (HRI) and multimodal machine learning, with a sharp focus on making autonomous systems more reliable and socially aware. Her work centers on detecting and mitigating errors and failures in real-time human-robot interactions—a critical bottleneck in deploying robots safely in everyday environments. In her highly cited 2024 paper, "ERR@HRI 2024 Challenge: Multimodal Detection of Errors and Failures in Human-Robot Interactions," she addresses the persistent challenge of robots making mistakes like interrupting users or exhibiting delayed responses. By leveraging multimodal data—combining audio, visual, and contextual cues—Kankariya develops frameworks that enable robots to recognize their own failures and adapt accordingly. Though early in her career, her contributions have already garnered significant attention, with her work accumulating over 6 citations and inspiring a dedicated challenge at a top HRI venue. Her research not only advances the technical robustness of autonomous systems but also lays the groundwork for more intuitive, trustworthy human-robot collaboration. For students and researchers, Kankariya’s work exemplifies how tackling fundamental interaction flaws can bridge the gap between laboratory prototypes and real-world robotic assistants.
Research Focus
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Top Papers
- 1