The Robotics Lab has many faculty and student lead projects. Below is a non-exhaustive list of the projects.
The teleoperated robot may be deployed at hazardous, difficult, and enemy-intruded areas and controlled from a safe region. The structure of the spherical robot has many advantages over conventional mobile vehicles or humanoids. The ball shape of a spherical robot enables rolling in any direction on planar surfaces. Sensors and other electronics are completely inside the shell.
It is robust to the collisions and can manoeuvre in any direction. The camera mounted on the robot provides a real- time panoramic 360 visual feedback that provides awareness to the situation. The visual feedback transmitted to the operator also enables him/her to control the robot’s movement. A manually operated spherical robot has been designed that provides visual feedback for reconnaissance and search. The design of the robot can be easily modified to add sensors for collecting application specific information to the operator.
The 1-DOF Pitch Measurement Lab Helicopter is a project designed to provide a platform for studying and understanding the dynamics of a helicopter's pitch motion. This project involves building a small-scale helicopter model that can be used in a laboratory setting to measure the pitch angle of the rotor blades and the helicopter body.
We are looking for students to join the 2 DOF lab helicopter project
Claw- The helper in the manufacturing industry
The goal of the project is the development of an inexpensive, lightweight, and easily controlled robotic end effector with Arduino controlled structure which can be very helpful in the field of manufacturing for gripping. Claw mounted on the robot enables manufacturers to automate the key process industries i.e., device inspection, product assembling, and picking and placing the product. The developed claw will help in manufacturing and gripping the appliances in various industries for uncertain environments. Some hazardous conditions such as holding devices in high temperatures, lightning, and sparking during welding, and working in c gas and chemical industries may cause health issues for human operators and workers developed end effectors will do the hazardous job in hazardous conditions without any human life and health harm.
The developed claw will accurately react to the movements from user dictated via commands with required position. Furthermore, the user can also modify the claw to control remotely via the network, built inside the Arduino board. It can hold various instruments i.e., medical instruments (disease monitoring, disease identification and surgical tools), welding instruments (arc welding and spot welding), Material handling (move, pack and select products), Machine Tending (loading and unloading claw), Mechanical Cutting, Grinding, Deburring and Polishing claw etc.
Autonomous Ground Cleaning Robot
The aim of the project is to develop a fully autonomous ground-cleaning robot for dry waste cleaning. Autonomous ground cleaning robots employ sensors, robotic drives, controllers, and cleaning routines. It will be equipped with various navigating sensors such as LIDARS and infrared distance sensors to navigate itself in the environment without collision. LIDARS sensor will map the entire surrounding area and path planning will be done accordingly. Optimized path planning ng will be used to clean the environment which will cover areas of interest with less repetitive movement and without skipping any area. The developed cleaning robot design will be including a self-driven mode that helps to navigate the robot over the surroundings without human intervention and it can return to its initial position (docking at the station).
A vacuum-sanction device and a dustbin will be mounted with a robot for wiping and storing the waste. The cleaning robot will rest inside the room and will monitor continuously to check the availability of the waste. Never, it will detect the waste, it will move towards the waste and will return back to the starting position after cleaning it. Continuous monitoring and cleaning of surroundings is a tedious task for human beings but a robot can perform this task very effectively without getting bored and tired. Currently, the idea is the development of a cleaning robot for dry waste. While, we can modify it for other purposes like mopping, event-based cleaning, etc.
EDITH (Human Following Robot)
The main aim of the project is to design and develop the human following robot within a specific range. The human following robot interacts with humans in order to assist him. In a human following robot, a set of hardware has been utilized i.e., ultrasonic sensor, motor, robot drive, control board, etc. In human following robots, sensing units, motion units, and controlling units have been used to perform the task. The robot continuously collects surrounding information through the sensors and performs the motion and other tasks with the help of the motion unit and controlling unit. All the hardware will be assembled on the robot frame. The robot frame designing is also a part of the project hence it will be designed in Integral University Lab, using a 3-dimensional designing and printing machine. An algorithm will be developed and deployed on the robot hardware, which will enable the robot to follow the human without colliding with a surrounding obstacle.
The developed human follower robot can be utilized for various applications such as it can carry stuff along with humans in shopping malls, homes, offices, or golf courses. A human follower robot can follow a doctor inside the hospital premises with the nursing kit for medical application. Similarly, it can help the army by carrying their arms and other stuff. in airports, an intelligent cargo transportation robot helps passengers by carrying luggage in an airport. Furthermore, the human following robot can be equipped with a camera and another sensor to perform detection and tracking of any specific person, chase the criminal, security providing to the VIPs, etc.
UAV Motion Planning using OptiTrack, ROS and MATLAB
The aim of this project is to set up a full fledged Distributed System to enable a QuadCopter to localize itself indoors without using a GPS and then implement various control systems algorithms like Model Predictive Control (MPC) for optimal trajectory control. The QuadCopter runs on ArduCopter firmware and also compatible with Robot Operating System (ROS) running on the companion computer, hence the need for Distributed Systems. The QuadCopter localizes indoors using the OptiTrack Motion Capture System by grouping together 6 infra-red markers at a rate of 120 FPS giving position and orientation data with sub-millimeter accuracy. This data is then transmitted over to the QuadCopter using a 433 MHz radio telemetry module which helps localize the QuadCopter in real time. This data is then coupled with the NL-MPC block in SimuLink to implement Non-Linear Model Predictive Control according to the mathematical model of the QuadCopter.