… The integration of robotic agents and IoT leads to the concept of the Internet of Robotic …
challenges of the integration of robotic technologies into smart spaces. IoRT technologies and …

… platform for smart … robotics and machine learning applied to the new manufacturing
paradigms. This paper begins by defining smart manufacturing, cooperative robotics, and machine …

… robot, categorized as a steward robot, as an intermediate agent between residents and their
complex smart … The learning capability and emotional interaction of the robot can make it …

… One such type of robot is an autonomous robot. These smart machines, which are currently
used in limited areas, are expected to expand in the future. The article notes that these robots …

… & robots, with miniaturization of the electromechanical components, ie, the … of robotic
manipulation and mobility, we quite naturally acquire the capability of smart sensing & robots. This …

… HRI includes ’(TS = (vision OR visual OR haptic OR touch … ) AND (human-robot OR “human
robot” OR “human machine” OR … (human-robot OR “human robot” OR “human machine” OR …

… Nevertheless, most of these methods are not smart … novel smart security system, which
uses a mobile robot as a security patrol in dark environment. The proposed system is a non-vision …

… Smart grid and renewable energy research and development has been at the forefront of …
For instance, the drivers for renewable energy and smart grids are (1) electricity demand; (2) …

… development of smart sensors and machine learning algorithms, … robot vision is inseparable
from optical measurement sensor innovation. The vision sensors used in humanoid robots …

… To address this issue, a new Vision-Based Interaction Model … In addition, a novel Vision-Based
Robotics Learning model … Moreover, a vision theory-based smart learning algorithm is …