Neuromorphic electronics have great potential in the emulation of the sensory, cognitive, self-
learning, and actuating functions of robots. While typically implemented in rigid silicon …

Neuromorphic vision sensors or event cameras have made the visual perception of
extremely low reaction time possible, opening new avenues for high-dynamic robotics …

Conventional vision, auditory, and olfactory sensors generate large volumes of redundant
data and as a result tend to consume excessive power. To address these shortcomings …

Event-based cameras are bioinspired vision sensors whose pixels work independently from
each other and respond asynchronously to brightness changes, with microsecond …

Event cameras are emerging as a new class of cameras, to potentially rival conventional
CMOS cameras, because of their high speed operation and low power consumption. Pixels …

For a structured light system, scan speed and reconstruction accuracy are usually
compromised for limited sensor bandwidth. The bio-inspired camera, also known as the …

Event cameras are bio-inspired sensors providing significant advantages over standard
cameras such as low latency, high temporal resolution, and high dynamic range. We …

Structured light 3D scanning systems are fundamentally constrained by limited sensor
bandwidth and light source power, hindering their performance in real-world applications …

Event cameras are bio‐inspired sensors that offer advantages over traditional cameras.
They operate asynchronously, sampling the scene at microsecond resolution and producing …

The stereo matching algorithm is one of the important methods for 3D surface reconstruction.
A stereo matching process produces a disparity map which provides the depth of information …