Abstract Artificial intelligence has been gradually integrated into life, and knowledge graph is also particularly important, its application maturing. In recent years researchers have used the rich entity relationship information in to overcome many difficulties. Through fusion, reasoning, deep learning of large-scale graphs, graphs link apply these memories generate wisdom. It can be said tha...

The COVID-19 pandemic has brought significant changes to the way clinicians interact with patients, implementation of measures like personal protective equipment, social distancing, and triage facilities. These aim protect healthcare professionals minimize transmission infection. However, despite these precautions, medical personnel still face a high risk exposure, leading shortage essential wo...

Robotic systems are used within a great variety of medical disciplines. A handheld robot promises a number of advantages compared to conventional (medical) robots but this approach leads to strict specifications regarding size, weight and dynamic properties. A new hybrid kinematics – the Epizactor – seems to be advantageous and is compared to two well-known parallel kinematics regarding the rat...

this article presents an implementation of a reinforcement learning (rl) method for a snake like robot navigation. the paper starts with developing kinematics and dynamics model of a snake robot in serpentine locomotion followed by performing simulation and finishes with actual experimentation. first, gibbs-appell's method is used to obtain the robot dynamics. the robot is also modeled in simme...

in this paper, a new approach to modify cable tension measuring mechanism is described; furthermore, the constructed boards which amplify load cell output are introduced. this approach has some advantages including of providing feedback for motors, evaluating the robot’s ultimate load carrying capacity, improving the motor control system and estimating the vibrating deflections of the end effec...