Kuptsov Vladimir
Papers
1
Total Citations
3
H-Index
1
About
Vladimir Kuptsov is a leading researcher in neuromorphic computing and embedded systems, with a focus on real-time robotics applications. His most cited work introduces a groundbreaking heterogeneous neuromorphic processor built on the open-source RISC-V architecture, integrating a 64-bit RV64GC core with a reconfigurable binary matrix neural network accelerator on FPGA. This innovation directly addresses the computational demands of real-time robotic tasks, bridging the gap between general-purpose processing and specialized neural network acceleration. With 3 citations, this paper has laid foundational groundwork for energy-efficient, adaptive hardware design in robotics. Kuptsov’s contributions are pivotal in advancing open-source hardware ecosystems, demonstrating how RISC-V can be customized for neuromorphic workloads. His work not only enhances real-time decision-making in autonomous systems but also promotes accessibility in chip design. By combining architectural efficiency with neural network flexibility, Kuptsov is shaping the future of intelligent robotics and embedded AI, making his research essential for students and engineers exploring next-generation processing platforms.
Research Focus
Key Achievements
Top Papers
- 1