Akilesh Rajavenkatanarayanan
Papers
8
Total Citations
476
H-Index
5
About
Akilesh Rajavenkatanarayanan is a robotics and human-robot interaction researcher whose work sits at the intersection of artificial intelligence, cognitive assessment, and assistive healthcare technologies. Best known for his highly influential 2021 survey "A Survey of Robots in Healthcare" — which has garnered over 370 citations — he has made significant contributions to understanding how robotic systems can support elderly care, rehabilitation, and hospital environments. His research spans the development of real-time cognitive load assessment frameworks for industrial human-robot cooperation, multimodal sensing approaches that integrate computer vision, facial expression analysis, body posture recognition, and EEG signals to evaluate human performance and engagement. Rajavenkatanarayanan has also directed attention toward clinical populations, authoring a notable survey on assistive technologies for motor impairment assessment in Multiple Sclerosis patients. Across his body of work, he consistently pursues a central theme: enabling robots to intelligently perceive and respond to human cognitive and physical states — including fatigue, attention, and working memory — to foster safer, more effective collaboration. His research has accumulated over 470 total citations, reflecting meaningful influence across both academic robotics communities and applied healthcare technology domains.
Research Focus
Key Achievements
Top Papers
- 1A Survey of Robots in Healthcare371 citations · 2021
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- 5Monitoring task engagement using facial expressions and body postures16 citations · 2018
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