Ashwin Satyanarayana

City University of New York, New York City College of Technology

Papers

Total Citations

H-Index

About

Ashwin Satyanarayana is a researcher at the forefront of human-robot interaction, specializing in biomimetic robotics, neuromorphic computing, and cloud-based AI systems. His primary contributions lie in teaching robots to understand and replicate human hand gestures—a critical step toward seamless human-robot collaboration. In his highly cited 2024 work, "Biomimetic Learning of Hand Gestures in a Humanoid Robot" (12 citations), Satyanarayana pioneered the use of motor synergies to enable robots to learn natural, intuitive gestures, moving beyond rigid programming toward adaptive, human-like movement. His 2023 follow-up paper (6 citations) further refined this approach, demonstrating how synergy-based learning can make robotic communication more efficient and accessible. Satyanarayana’s vision extends to the cloud; his 2018 paper on "Design of Cloud Based Robots Using Big Data Analytics and Neuromorphic Computing" (3 citations) explores how brain-inspired hardware and massive data streams can power next-generation social robots. By bridging neuroscience, machine learning, and robotics, Satyanarayana is shaping a future where robots don’t just follow commands—they understand the unspoken language of human gesture.