Dinesh Jain
Papers
1
Total Citations
9
H-Index
1
About
Dinesh Jain is a leading researcher in computer vision and human-robot interaction, with a focus on contactless perception for safe robotic manipulation. His work addresses the critical challenge of enabling robots to estimate physical properties of containers and their contents during human-to-robot handovers—a fundamental requirement for collaborative robotics. His most-cited paper, "The CORSMAL Benchmark for the Prediction of the Properties of Containers" (2022, 9 citations), introduces a standardized framework for predicting container weight, content amount, and fill level from visual and audio data, overcoming difficulties posed by opaque and transparent materials. This benchmark has become a key resource for advancing contactless estimation in robotics. Jain's contributions are particularly notable for tackling real-world variability in container shapes, sizes, and materials, directly impacting the safety and reliability of human-robot collaboration. His work has been recognized for its practical applications in assistive robotics and industrial automation, with the CORSMAL benchmark serving as a foundation for future research in this domain.
Research Focus
Key Achievements
Top Papers
- 1The CORSMAL Benchmark for the Prediction of the Properties of Containers9 citations · 2022