The objective of this study is to critically review the smart city research paradigm and to find
possible pitfalls, conflicting results and topics for further study and improvement. A …

The determination of this Special Issue topic in the field of automation and robotics was well
received by the community of scientists and researchers. Their successful response arose …

Despite the high solution potential of machine learning for common problems in automation
technology, there are only few examples of its application in real-world manufacturing …

In modern-day multi-dimensional recreational drones (UAVs), the global navigation satellite
system (GNSS) units in-use are commonly fraught with precise-point-positioning (PPP) data …

Blind and low-vision (BLV) people rely on GPS-based systems for outdoor navigation. GPS's
inaccuracy, however, causes them to veer off track, run into obstacles, and struggle to reach …

Autonomy offers significant advantages for mobile robots by eliminating the need for human
operators, thereby enhancing safety and cost-effectiveness. Path planning is an essential …

Blind and low-vision (BLV) people use GPS-based systems for outdoor navigation
assistance, which provide instructions to get from one place to another. However, such …

This chapter is based on a novel Arduino‐based multi‐featured robot. The components
required are Arduino UNO, ultrasonic sensor, Bluetooth module, servo motor, and a few …

Increasing demand for mobile manipulators in fields requiring high-precision tasks has
introduced new requirements regarding their kinematic accuracy. Pose measurement of the …

Environmental changes can severely disrupt the docking sections of transportation systems
in factories. Such disruptions not only halt the production line but also necessitate human …