Evolution gave humans advanced grasping capabilities combining an adaptive hand with
efficient control. Grasping motions can quickly be adapted if the object moves or deforms …

Stereopsis has widespread appeal in robotics as it is the predominant way by which living
beings perceive depth to navigate our 3D world. Event cameras are novel bio-inspired …

The human brain surpass conventional computer architectures in regard to energy
efficiency, robustness, connectivity and adaptivity. These aspects are inspiring today's …

This paper presents a novel architecture to generate a world model in terms of mesh from a
continuous image stream with depth information extracted from a robot's ego-vision camera …

Event cameras are neuromorphic vision sensors that work differently from frame-based
cameras. Instead of outputting global images of the scene at fixed frequency, event cameras …

This paper proposes an asynchronous particle filter to reconstruct high dynamic range
(HDR) video from low dynamic range (LDR) frame and event data. Event cameras have the …

Stereo matching is an indispensable function that enables machine vision system to obtain
depth information of its environment. However, most of existing algorithms rely on …