Bharat Srirangam
Papers
1
Total Citations
4
H-Index
1
About
Bharat Srirangam is a researcher at the intersection of robotics, computer vision, and materials science, with a focused expertise in multimodal sensing for robotic perception. His work addresses a fundamental challenge in autonomous manipulation: enabling robots to understand the physical properties of objects they encounter. Srirangam’s most cited contribution, "Multimodal Material Classification for Robots using Spectroscopy and High Resolution Texture Imaging" (2020), introduces a novel approach that fuses near-infrared spectroscopy with close-range texture imaging. This dual-sensor technique allows robots to classify materials—such as wood, metal, or fabric—with greater accuracy than vision alone, directly informing safe and effective grasping and manipulation strategies. With 4 citations, this work is a foundational step toward more intelligent, context-aware robotic systems. Srirangam’s research holds significant promise for applications in manufacturing, service robotics, and autonomous exploration, where material-aware interaction is critical. His contributions are helping to bridge the gap between raw sensor data and actionable physical understanding, marking him as an emerging voice in the field of robotic perception and material intelligence.
Research Focus
Key Achievements
Top Papers
- 1