Aswin Chandarr
Papers
1
Total Citations
10
H-Index
1
About
Aswin Chandarr is a researcher specializing in human-robot interaction, computer vision, and multimodal perception, with a focus on enabling natural, non-verbal communication between humans and robots. His most notable contribution is the development of a multimodal joint visual attention model for domestic environments, introduced in his highly cited 2015 paper. This work integrates bottom-up visual saliency and depth-based segmentation with top-down cues like pointing gestures and gaze direction, allowing robots to accurately detect objects of interest in cluttered, real-world settings. By combining these sensory modalities, Chandarr’s model significantly enhances a robot’s ability to share attention with humans, a critical step toward intuitive and seamless collaboration in homes. With 10 citations, this paper has influenced subsequent research on social robotics and assistive technologies. Chandarr’s work stands out for its practical application to household scenarios, addressing the challenge of making robots responsive to subtle human cues without requiring explicit commands. His research continues to advance the field of human-robot interaction, bridging the gap between machine perception and natural human behavior.
Research Focus
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Top Papers
- 1