Development of an IoT based Smart meteorological station & horticultural irrigation system’s controller using a Raspberry Pi Linux server

In my current project an IoT based device has been developed, the main function of which is to allow the control of its own flexible meteorological station and irrigation system. Besides the control computer, there are meteorological sensors attached, based on which we control our agricultural irrigation apparatus.

ROS OS based environment mapping of Cyber Physical System Lab by Depth sensor

The 21st century is a century of Robotics and thus the appearance of robots in the industries made the “Industrial Revolution 4.0” in which we can control and analyse the system using HMI’s or wirelessly over network and it’s a great example of industry 4.0 component. Nowadays robots are very important part of industry’s processing unit as they have the tendency to work 24*7 thus increases the efficiency of processing and production unit.

 In our project a depth sensor (Microsoft’s Xbox Kinect) is mounted on a mobile robot whose main task is to map our Cyber Physical System Lab in 3-Dimensional which uses a ROS OS software installed on linux machine.

 The robot will use a Simultaneous localization and mapping (SLAM) process to map an environment while currently generating an estimate for the location of the Robot.

Aspects Regarding Fly Control of Quadcopter

Quadcopter is one of Unmanned Aerial Vehicle (UAV) which has two pairs of identical fixed pitched rotor propellers. It can fly autonomously based on pre-programmed flight or manually controlled by a remote, and every movement achieved by varying the speed of each rotor independently. The orientation of quadcopter axes relative to a reference line and its direction of motion are known as attitude. Fly control factors are affected by attitude determination which can be calculated from 3 possible angles using combined measurement. Gyroscope and accelerometer are primary sensors to control quadcopter attitude, but magnetometer sensor and GPS also used to enhance the stability during flight. This paper will focus on details of function and mathematical formula of every factor regarding fly control and comparative data of 2 types of orientation sensor used in this system.

Home Compatible Omnidirectional Hovercraft Robot

As robots slowly integrate into home environments, synthesis of navigation, maneuverability and human acceptance is inevitable. This paper introduces a holonomic hovercraft design and the associated omnidirectional controlling algorithm. Hovercraft capabilities were investigated and discussed though design recommendations in relation to a robot compatible environment. The main aim of the design was to achieve better maneuverability, enhanced capabilities of overcoming obstacles, and the elimination of the drift phenomena that is a characteristic of conventional underactuated hovercraft designs, where rear rotor drive exerts thrust in one direction. Due to own inertia and the low friction of the air cushion, the hovercraft slips out in the original direction. Beyond solving this drift problem, another key feature of our design is the capability to be controlled in a global reference frame regardless of its orientation and desired trajectory with the help of a holonomic thruster drive. Orientation control is also implemented by turning the base of the thrusters. The design was implemented on a remote controlled hovercraft robot and proved to have a superior maneuverability over conventional hovercraft designs, thus our research greatly contributes to future human-robot cooperation in the living environment.