Rahul Singh Maharjan
Papers
3
Total Citations
6
H-Index
2
About
Rahul Singh Maharjan is a pioneering researcher at the intersection of artificial intelligence, affective computing, and human-robot interaction. His work focuses on developing socially intelligent robots capable of understanding and expressing human emotions through multimodal communication. Maharjan’s major contributions include designing intelligent agents that integrate verbal speech, facial expressions, and non-verbal cues—such as sighs—to create more natural and empathetic interactions. His 2025 paper on “Intelligent Multimodal Artificial Agents that Talk and Express Emotions” (3 citations) introduces a novel framework for emotionally expressive AI, while his 2022 work on “Continual Learning for Adaptive Affective Human-Robot Interaction” (2 citations) addresses the critical challenge of enabling robots like Pepper and Nao to adapt to dynamic real-world environments. Additionally, his 2024 study (1 citation) highlights the often-overlooked role of non-verbal emotional signals beyond faces and speech. Though early in his career, Maharjan’s research is laying the groundwork for next-generation social robots that can serve as genuine companions and assistants, pushing the boundaries of how machines perceive and respond to human affect.
Research Focus
Key Achievements
Top Papers
- 1Intelligent Multimodal Artificial Agents that Talk and Express Emotions3 citations · 2025
- 2Continual Learning for Adaptive Affective Human-Robot Interaction2 citations · 2022
- 3