Snehesh Shrestha
Papers
1
Total Citations
4
H-Index
1
About
Snehesh Shrestha is a rising researcher in Human-Robot Interaction (HRI), with a focus on multimodal learning that integrates speech, gestures, and demonstrations. His most cited work, "NatSGD: A Dataset with Speech, Gestures, and Demonstrations for Robot Learning in Natural Human-Robot Interaction" (2024, 4 citations), addresses a critical gap in HRI datasets by moving beyond elementary tasks like object pointing. NatSGD captures rich, natural interactions where humans combine verbal commands with gestures and physical demonstrations, enabling robots to learn from both explicit and implicit cues. This contribution is foundational for developing more intuitive and capable robotic systems that can understand complex human instructions in real-world settings. Shrestha’s research pushes the boundaries of how robots perceive and respond to multimodal communication, making human-robot collaboration more seamless and effective. His work is particularly impactful for students and researchers interested in embodied AI, interactive learning, and the future of assistive robotics.
Research Focus
Key Achievements
Top Papers
- 1