Sai Krishna
Papers
2
Total Citations
4
H-Index
2
About
Sai Krishna’s research lies at the intersection of social robotics and computer vision, with a focus on enabling robots to perceive and participate in human social spaces. His work addresses the fundamental challenge of how robots can naturally detect and join human groups—a critical step toward seamless human-robot interaction. In his most cited paper, “Towards a Method to Detect F-formations in Real-Time to Enable Social Robots to Join Groups” (2017), Krishna extended existing algorithms to detect constraint-based F-formations from a telepresence robot’s egocentric perspective, even while the robot is in motion. This computationally inexpensive approach operates under low-memory, low-quality vision settings, making it practical for real-world deployment. His earlier work, “Biologically Inspired Vision for Human-Robot Interaction” (2015), further explores vision systems modeled after biological processes. Though his citation counts remain modest—each paper garnering 2 citations—his contributions are foundational for researchers developing socially aware robots that can autonomously navigate group dynamics. Krishna’s work is particularly notable for prioritizing efficiency and real-time performance, addressing a key bottleneck in social robotics.
Research Focus
Key Achievements
Top Papers
- 1Biologically Inspired Vision for Human-Robot Interaction2 citations · 2015
- 2