Adil Khan 1 year ago
AdiKhanOfficial #FYP Ideas

Coordinated Control for Collective Motion

Recently, the collective motion (coordination of movement) of multiple vehicle systems has received considerable attention because of its broad range of engineering applications. The accomplishment of many robotic tasks requires the coordination of a group of mobile robots which generally outpe

Project Title

Coordinated Control for Collective Motion

Project Area of Specialization

Robotics

Project Summary

Recently, the collective motion (coordination of movement) of multiple vehicle systems has received considerable attention because of its broad range of engineering applications. The accomplishment of many robotic tasks requires the coordination of a group of mobile robots which generally outperforms robots operating independently. This project will extend ongoing work by developing state-of-the-art techniques for: 

(i) collision avoidance under energy and vehicle dynamics constraints; 

(ii) nonlinear filtering for tracking a maneuvering robot;

(iii) formation topologies for collective motion.

Project Objectives

  1. Implement trajectory generation and re-planning for collision avoidance subject to energy constraints and robot dynamics constraints.
  2. Implement nonlinear filtering for tracking the robots.
  3. Build 3 robots capable of navigating autonomously in a coordinated fashion in a static environment.

Project Implementation Method

The project will be undertaken by 3 students. Each student will work independently on one of the 3 aims of this project (see Project Objectives). This will ensure progress on each of the 3 aims.
Student (S)1 will focus on trajectory generation and re-planning for collision avoidance; S2 will focus on the target tracking algorithm for robot localization; S3 will focus on hardware development and mapping the algorithms for onboard execution.
In the initial phase, S1 will study a special class of curves, namely the Pythagorean hodograph (PH) Bézier curves for trajectory generation and review the literature on collision avoidance under constraints. S2 will review the literature on target tracking for nonlinear state space models. S3 will study robot design, hardware platforms and how to map the algorithms for onboard execution.
In the next phase, S1 will conduct simulation studies using MATLAB to demonstrate trajectory generation and collision avoidance. S2 will conduct simulation studies using MATLAB to demonstrate target tracking for nonlinear models. S3 will build a prototype of the robot and conduct preliminary tests.
In the final phase, S1 will map the algorithm for trajectory generation in Python for onboard execution. S2 will map the algorithm for robot tracking in Python for onboard execution. S3 will integrate the software for onboard execution and conduct tests to demonstrate the project.

Benefits of the Project

There are a number of engineering applications including unmanned sensor networks, for example, autonomous underwater vehicles (AUVs). Industry applications include exploration, security patrols, scouting and hunting missions, search and rescue.

Unmanned ground vehicles (UGVs) with advanced imaging can be used to cheaply and effectively map and accelerate clearing of minefields. 

In the manufacturing industry, UGVs (also known as automated ground vehicles [AGVs]) are used for transporting heavy equipment. For example, the aerospace industry uses AGVs for precision positioning and transporting heavy, bulky pieces between manufacturing stations, which is less time-consuming than using large cranes.

Technical Details of Final Deliverable

The final deliverables will include:

  1. MATLAB & Python software for trajectory generation & collision avoidance;
  2. MATLAB & Python software for nonlinear filtering;
  3. three robots capable of navigating autonomously in a coordinated fashion in a static environment.

Final Deliverable of the Project

HW/SW integrated system

Type of Industry

Transportation , Security

Technologies

Robotics

Sustainable Development Goals

Industry, Innovation and Infrastructure

Required Resources

Item Name Type No. of Units Per Unit Cost (in Rs) Total (in Rs)
Raspberry Pi model B+ Equipment3900027000
Motor Kit Equipment312003600
Ultrasonic Sensor Equipment126007200
GPS Sensor Equipment316004800
Rechargeable 12V LiPo Battery Equipment325007500
Body Kit Equipment3600018000
Total in (Rs) 68100
If you need this project, please contact me on contact@adikhanofficial.com
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