Employing Robots

Employing MASC to Control Multiple Mobile Robots

Over the last few decades roboticist have attempted to develop systems which are capable of successfully completing tasks in dynamic environments. Unfortunately, the community has not been as successful with their developments as was once projected. We have previously presented our approach to developing a semi-autonomous system which combines a human supervisor and robotic agents into a team. ...

Control of Industrial Robots Employing Neural Networks

Employing a Recurrent Linear Model to Guide Mobile Robots Adaptively

Controller adaptation is always a major concern. A controller that meets certain performance design objectives can not be satisfactory unless it can preserve them in the presence of system parameters fluctuation over a wide range of operation conditions. For autonomous robots, a controller that preserves stability and robustness dynamically is especially desirable. This paper presents, therefor...

Biologically Inspired Locomotion Generation and Control of Humanoid Robots Employing a Network of Neural Oscillator

In fact, many researchers have dealt with these fields individually as inherent research approaches. However although these strategies have performed independently in robotics fields, these approaches are key matters connected with our objective. Although recently many humanoid robots have made their successful debut, they are still very difficult to control. Thus they may not behave as expecte...

Robots to the Rescue: A Review of Studies on Differential Medical Diagnosis Employing Ontology- Based Chat Bot Technology

Access to medical care is a global issue. Technology-aided approaches have been applied in addressing this. Interventions have however not focused on medical diagnosis as a fully automated procedure and available applications employ mainly text-based inputs rather than conversation in natural language. We explored the utility of ontology-based chatbot technology for the design of intelligent ag...