Panin Pienroj
Papers
1
Total Citations
53
H-Index
1
About
Panin Pienroj is a researcher at the forefront of neuromorphic robotics, specializing in biologically inspired navigation and perception systems. Their key contributions lie in developing energy-efficient solutions for simultaneous localization and mapping (SLAM) by leveraging spiking neural networks (SNNs) and neuromorphic hardware. In their highly cited 2018 work, "Pose Estimation and Map Formation with Spiking Neural Networks: towards Neuromorphic SLAM" (53 citations), Pienroj pioneered the use of ultra low-power, mixed-signal analog/digital neuromorphic chips to implement neuronal path integration and map formation in mobile robots. This work demonstrated how SNNs can replicate biological spatial cognition, enabling robots to navigate with minimal energy consumption—a critical advance for autonomous systems operating in resource-constrained environments. By bridging computational neuroscience and robotics, Pienroj’s research has opened new pathways for real-time, on-chip learning and adaptive behavior in embodied agents. Their work is foundational for the next generation of autonomous drones, wearable assistive devices, and long-duration field robots, where power efficiency is paramount.
Research Focus
Key Achievements
Top Papers
- 1