V. Ferrer-Garcia
Papers
1
Total Citations
6
H-Index
1
About
V. Ferrer-Garcia is a leading researcher in neuromorphic engineering and robotics, whose work bridges the gap between spike-based sensing and motor control. Their key research areas include neuromorphic vision, spike-based control systems, and bio-inspired robotics. Ferrer-Garcia’s major contribution lies in developing a spike-based VITE (Vector Integration to Endpoint) control system integrated with a Dynamic Vision Sensor (DVS) for robotic arm manipulation. This pioneering work, published in 2014, demonstrates how to maintain the spike-based philosophy throughout the entire control loop—from sensing to actuation—thereby enhancing response speed and reducing power consumption. Despite its specialized nature, this foundational paper has garnered 6 citations, reflecting its importance in the neuromorphic engineering community. Ferrer-Garcia’s research is notable for its holistic approach to neuromorphic systems, showing that spike-based processing can be extended beyond perception to real-time motor control, a critical step toward energy-efficient autonomous robots. Their work continues to inspire advancements in event-driven robotics and low-power artificial intelligence systems.
Research Focus
Key Achievements
Top Papers
- 1