Venkatesh K. Subramanyam
Papers
1
Total Citations
9
H-Index
1
About
Venkatesh K. Subramanyam is a researcher specializing in robotics, computer vision, and human-robot interaction, with a particular focus on developing robust perception systems for service robots. His most-cited work, "A novel fusion framework for robust human tracking by a service robot" (2017, 9 citations), introduces an innovative multi-sensor fusion approach that integrates visual and depth data to enable reliable human tracking in dynamic, real-world environments. This contribution addresses a critical challenge in assistive robotics—maintaining accurate tracking despite occlusions, lighting changes, and cluttered settings—laying groundwork for safer and more responsive robot companions. Subramanyam’s research has implications for healthcare, domestic assistance, and autonomous navigation, where precise human localization is essential. While his citation count reflects an emerging career, the practical significance of his fusion framework has been recognized in robotics and computer vision communities, and his work continues to influence subsequent studies on sensor integration for human-aware robots. His dedication to bridging algorithmic innovation with real-world deployment positions him as a promising voice in the advancement of service robotics.
Research Focus
Key Achievements
Top Papers
- 1A novel fusion framework for robust human tracking by a service robot9 citations · 2017