Rancang Bangun Program Visualisai Gerakan Differential Drive Mobile Robot

Converting the position of Differential Drive Mobile robot to Cartesian area is one of the problem in Differential Drive Mobile robot. In the reality there is no coordinate which can explained the position of mobile robot movement. The Visualisation and real time experiment have drawn to explained how and where the position of movement using Java programming langueage. It has been made due to the difference Angular Velocity between wheels. Angular Velocity is calculated based on real time input from the the robot itself. The Mobile Robot sent packet data pulse by the serial coaxial is connected to the PC. And then the data pulse is calculated to produce the coordinate position at that moment. Based On Visualisation and real time result , it was found that the calculation of data generated coordinate points have a point distance far enough to need to find other points that can be used as a helper to smooth the transition between positions. Interpolation between the coordinate point of the calculation can provide a more smooth transition of movement. The existence of the slippage that occurred on the wheel. Wheel slippage is not readable by the rotary, rotary, so the data unreadable and reduce the level of the visualization approach. Keywords: Computer graphics, Differential Drive Mobile Robot

Socially Constrained Management Of Power Resources For Social Mobile Robots

Autonomous robots acting as companions or assistants in real social environments should be able to sustain and operate over an extended period of time. Generally, autonomous mobile robots draw power from batteries to operate various sensors, actuators and perform tasks. Batteries have a limited power life and take a long time to recharge via a power source, which may impede human-robot interaction and task performance. Thus, it is important for social robots to manage their energy, this paper discusses an approach to manage power resources on mobile robot with regard to social aspects for creating life-like autonomous social robots

Enhancing smart environments with mobile robots

Sensor networks are becoming popular nowadays in the development of smart environments. Heavily relying on static sensor and actuators, though, such environments usually lacks of versatility regarding the provided services and interaction capabilities. Here we present a framework for smart environments where a service robot is included within the sensor network acting as a mobile sensor and/or actuator. Our framework integrates on-the-shelf technologies to ensure its adaptability to a variety of sensor technologies and robotic software. Two pilot cases are presented as evaluation of our proposal.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech