Rachmad Vidya Wicaksana Putra
Papers
10
Total Citations
74
H-Index
5
About
Rachmad Vidya Wicaksana Putra is an emerging researcher at the forefront of neuromorphic computing, spiking neural networks (SNNs), and energy-efficient AI for autonomous systems. His work addresses one of modern robotics' most pressing challenges: enabling intelligent, adaptive behavior in battery-powered autonomous agents — including mobile robots, drones, and ground vehicles — without sacrificing computational efficiency. Putra has made significant contributions through the development of novel frameworks and methodologies such as SNN4Agents, TopSpark, and Mantis, which collectively advance energy-efficient machine learning tailored for real-world embedded deployment. His research on low-precision SNN processing (lpSpikeCon) and continual learning with neuromorphic hardware pushes the boundaries of how autonomous agents can learn and adapt in dynamic environments. A recurring theme across his portfolio is bridging bio-inspired neural computation with practical robotic applications, as reflected in his comprehensive survey on embodied neuromorphic AI for robotics (14 citations). With growing recognition in the field — accumulating over 70 citations across his most notable works — Putra is establishing himself as a key contributor to the next generation of intelligent, power-aware autonomous systems at the intersection of neuroscience-inspired computing and robotics.
Research Focus
Key Achievements
Top Papers
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