Vijay Shankaran Vivekanand
Papers
3
Total Citations
8
H-Index
2
About
Vijay Shankaran Vivekanand is an emerging researcher specializing in neuromorphic computing, bio-inspired robotics, and autonomous sensorimotor control. His work sits at the fascinating intersection of neuroscience and robotics engineering, focusing on how biological neural mechanisms can be translated into efficient computational systems for real-world robotic applications. Vivekanand's most significant contributions center on central pattern generators (CPGs) — the specialized neural circuits that govern rhythmic biological behaviors such as walking, breathing, and swimming. His 2023 paper on tunable bursting rhythms, his most cited work with four citations, demonstrated innovative implementations of spiking CPG networks across both the Intel Loihi neuromorphic chip and Arduino platforms, advancing the practical deployment of bio-mimetic locomotion controllers. Complementary work on nonlinear bio-mimetic neurons further refined CPG-driven gait generation for diverse locomotion behaviors. More recently, his 2025 research on event-based sensorimotor control addresses a critical challenge in edge robotics: enabling miniature robots to navigate unstructured terrains autonomously under severe computational and power constraints. This work highlights his growing focus on resource-efficient, real-world deployable robotics solutions particularly suited to disaster response scenarios, positioning him as a promising contributor to the next generation of intelligent, autonomous robotic systems.
Research Focus
Key Achievements
Top Papers
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