Bio-inspired visual servoing that achieves low-latency robotic control by processing event-stream flux directly, bypassing traditional state estimation.
March 26, 2026
Original Paper
Bio-Inspired Event-Based Visual Servoing for Ground Robots
arXiv · 2603.23672
The Takeaway
Most robotic systems rely on complex perception pipelines to estimate position and velocity. This method uses fixed spatial kernels on raw event data to analytically isolate kinematic states, enabling extremely fast, computationally efficient 'direct-sensing' controllers for edge devices.
From the abstract
Biological sensory systems are inherently adaptive, filtering out constant stimuli and prioritizing relative changes, likely enhancing computational and metabolic efficiency. Inspired by active sensing behaviors across a wide range of animals, this paper presents a novel event-based visual servoing framework for ground robots. Utilizing a Dynamic Vision Sensor (DVS), we demonstrate that by applying a fixed spatial kernel to the asynchronous event stream generated from structured logarithmic inte