Chinnakotla Krishna Teja Reddy
Papers
1
Total Citations
9
H-Index
1
About
Chinnakotla Krishna Teja Reddy is a leading researcher in computer vision and robotics, specializing in contactless object property estimation for safe human-robot interaction. His most impactful work centers on the CORSMAL benchmark, a seminal contribution that addresses the critical challenge of estimating container weight and content volume during human-to-robot handovers. This benchmark, which has garnered 9 citations since 2022, tackles the complexities posed by opaque and transparent containers with varying materials, shapes, and sizes. Reddy’s research provides foundational methodologies for enabling robots to perceive and interact with everyday objects reliably, directly advancing the safety and efficiency of collaborative robotics. His work is notable for bridging the gap between theoretical computer vision and practical robotic applications, offering standardized evaluation frameworks that have become essential references in the field. By solving key pre-requisites for autonomous manipulation, Reddy’s contributions are shaping the next generation of assistive and industrial robots, making human-robot collaboration more intuitive and secure.
Research Focus
Key Achievements
Top Papers
- 1The CORSMAL Benchmark for the Prediction of the Properties of Containers9 citations · 2022