Gonuguntla Neeharika
Papers
1
Total Citations
9
H-Index
1
About
Gonuguntla Neeharika is a researcher advancing the intersection of computer vision and robotics, with a primary focus on contactless perception for safe human-robot interaction. Her key research areas include object property estimation, multimodal sensor fusion, and benchmark development for robotic manipulation. Neeharika’s most notable contribution is her work on the CORSMAL Benchmark (2022, 9 citations), which addresses the critical challenge of predicting container properties—such as weight and content volume—without physical contact. This benchmark is foundational for enabling robots to safely hand over objects manipulated by humans, tackling difficulties posed by opaque or transparent containers and diverse materials, shapes, and sizes. By providing standardized evaluation protocols, her research helps bridge the gap between perception and action in robotic systems. Her work has direct implications for assistive robotics, manufacturing, and domestic automation, where safe object transfer is essential. Neeharika’s contributions are recognized for their practical impact on developing robust, real-world robotic perception systems, making her a promising voice in the field of embodied AI and human-robot collaboration.
Research Focus
Key Achievements
Top Papers
- 1The CORSMAL Benchmark for the Prediction of the Properties of Containers9 citations · 2022