Shiva Hanifi
Papers
1
Total Citations
6
H-Index
1
About
Shiva Hanifi is a robotics researcher whose work sits at the intersection of computer vision, human-robot interaction, and cognitive robotics. Her primary research focus is on enabling robots to perceive and interpret human attention through visual cues, a critical capability for natural and intuitive human-robot collaboration. In her most cited work, "A pipeline for estimating human attention toward objects with on-board cameras on the iCub humanoid robot" (2024, 6 citations), Hanifi introduced a novel learning system that allows a robot to detect which object a human is gazing at using only visual feedback from its own on-board cameras. This system integrates face detection, human attention prediction, and online object detection into a cohesive pipeline, effectively giving the iCub humanoid the ability to understand where a person is looking. By tackling the challenge of gaze-based object detection without specialized eye-tracking hardware, Hanifi's contribution is particularly impactful for making social robots more perceptive and responsive. Her work lays important groundwork for developing robots that can engage in joint attention, a fundamental aspect of human social interaction, and holds promise for applications in assistive robotics and collaborative manufacturing.
Research Focus
Key Achievements
Top Papers
- 1