Robotic applications nowadays are widely adopted to enhance operational automation and
performance of real-world Cyber-Physical Systems (CPSs) including Industry 4.0 …

Motivated by the tremendous progress we witnessed in recent years, this paper presents a
survey of the scientific literature on the topic of Collaborative Simultaneous Localization and …

With the wide penetration of smart robots in multifarious fields, the simultaneous localization
and mapping (SLAM) technique in robotics has attracted growing attention in the community …

Due to the enormous volume of point cloud data, transmitting and storing the data requires
large bandwidth and storage space. It could be a critical bottleneck, especially in tasks such …

A recent trend in the IoT is to shift from traditional cloud-centric applications towards more
distributed approaches embracing the fog and edge computing paradigms. In autonomous …

Stereo vision technique has been widely used in robotic systems to acquire 3-D information.
In recent years, many researchers have applied bilateral filtering in stereo vision to …

The multi-robot systems (MRS) exploration and fire searching problem is an important
application of mobile robots which require massive computation capability that exceeds the …

Mobile robots require real-time performance, high computation power, and a shared
computing environment. Although cloud computing offers computation power, it may …

We propose BirdViewAR, a surroundings-aware remote drone-operation system that
provides significant spatial awareness to pilots through an augmented third-person view …

Product quantization is a key strategy in compact dictionary learning for the transmission of
3D point clouds, producing quantization codes of varying lengths. This paper presents a …