Event-based vision systems are a breakthrough in sensory technology that mimic the way biological vision works, offering unique advantages over traditional frame-based cameras. Unlike conventional cameras, which capture entire frames at fixed time intervals, event-based cameras only capture changes in the scene, providing high temporal resolution and low latency. This makes them particularly well-suited for…
The field of neuromorphic computing is inspired by the brain’s architecture and the way biological neural systems process and respond to sensory input. Neuromorphic sensors are designed to mimic the sensory systems found in nature—such as the human sense of sight, touch, and hearing—by leveraging bio-inspired circuits and algorithms. These sensors go beyond traditional robotic…
Morphological computation refers to the idea that the physical structure (or morphology) of a system—such as a robot—can be used to offload some of the computational processes typically handled by its brain (central processor). This approach emphasizes the role of a robot’s body and its interaction with the environment in performing tasks. Instead of relying…