Cooperative Mapping and Localization using Autonomous Robots Researcher: Shaun Egan Superviser: Dr Karen Bradshaw.

Slides:



Advertisements
Similar presentations
What will you do?. You will build…. You will build robots using 3 different components. – Handyboard – Super Cricket – Boe Bot In all of the above you.
Advertisements

What is a robot? By Kolby H. 8-B What is A robot? A robot is a mechanical device that can help in everyday life by using different programs or.
Robot Sensor Networks. Introduction For the current sensor network the topography and stability of the environment is uncertain and of course time is.
Discussion topics SLAM overview Range and Odometry data Landmarks
Sonar and Localization LMICSE Workshop June , 2005 Alma College.
Real-time, low-resource corridor reconstruction using a single consumer grade RGB camera is a powerful tool for allowing a fast, inexpensive solution to.
ROBOT LOCALISATION & MAPPING: MAPPING & LIDAR By James Mead.
IMagic Senior Project Emre AYDIN Asil Kaan BOZCUOĞLU Onur ÖZBEK Egemen VARDAR Onur YÜRÜTEN Project Supervisor: Asst. Prof. Uluç Saranlı.
Principal Investigator Supervisor Co-Supervisor Edison Mukadah Dr Greg Foster Dr Hannah Slay.
Mobile – robot remote control and communication system design P. Petrova, R. Zahariev Central Laboratory of Mechatronics and Instrumentation Bulgarian.
Zachary Wilson Computer Science Department University of Nebraska, Omaha Advisor: Dr. Raj Dasgupta.
Pedro Nunes1 Sensor Fusion Applied to the RoboCup Simulation League.
Discovering Environmental Structure with Mobile Robots Rahul Biswas CS326A Class Project.
CSE Design Lab – Milestone 2 James Hopkins Dave Festa Dennis O’Flaherty Karl Schwirz.
Simultaneous Localization and Map Building System for Prototype Mars Rover CECS 398 Capstone Design I October 24, 2001.
Grid Maps for Robot Mapping. Features versus Volumetric Maps.
VISION CONTROL MICRO MOUSE MSc Computer Systems Engineering By: Rekapally Mahendranath Supervisor: Dr. Nic Snailum.
Indian Institute of Technology Hyderabad OBSTACLE AVOIDER USING SENSOR TECHNOLOGY Kiran kumar Dileep raju Bojja Haranath.
Simple set-membership methods and control algorithms applied to robots for exploration Fabrice LE BARS.
P14215 AUTONOMOUS WANDERING AMBASSADOR What is the project about? The objective of this project is to modify a currently remote controlled robot so that.
ROBOT LOCALISATION & MAPPING: MAPPING & LIDAR By James Mead.
1 Programming & Robotics. 2 Course Goals for grade 11 s To give students an INTRODUCTION to computer programming & Robotics  If you ‘re already an expert,
GIRLS Robotic Camp. Let’s Begin Meet and Greet – Camp leaders introduce themselves – Students introduce themselves.
Computer Science, Software Engineering & Robotics Workshop, FGCU, April 27-28, 2012 Nicholas Alteen Evan McKeon Michael Humphries Computer Science Program.
Networks of Autonomous Unmanned Vehicles Prof. Schwartz Presentation to Dr. Ponsford of Raytheon May 20, 2008.
Cooperating AmigoBots Framework and Algorithms
Leslie Luyt Supervisor: Dr. Karen Bradshaw 2 November 2009.
By Alex Wright and Terrence Bunkley Mentored by Dr. Kamesh Namaduri College of Engineering Department of Computer Science and Engineering Department of.
Solving the Indoor SLAM Problem for a Low-Cost Robot Using Sensor Data Fusion and Autonomous Feature-Based Exploration PhD Student: Prof. MSc. Luciano.
The Eos-Explorer CHENRAN YE IMDE ECE 4665/5666 Fall 2011.
A Framework for use in SLAM algorithms Principle Investigator: Shaun Egan Supervisor: Dr. Karen Bradshaw.
A Modular and Extendable Robotics Platform for Education Ryan Connaughton and Matthew Modlin University of Notre Dame, James Whitcomb Riley High School.
Flame-Extinguishing Autonomous Robot Smokey the Bot Creator: Matthew Bellman Intelligent Machine Design Lab: Spring 2010 Instructors: A. Antonio Arroyo,
Project Proposal: Student: Rowan Pivetta Supervisor: Dr Nasser Asgari.
Final Presentation.  Software / hardware combination  Implement Microsoft Robotics Studio  Lego NXT Platform  Flexible Platform.
IEEE Robotics TEAM Team Overview Computer Engineering PSoC Development PCB Design Communication Interrupt design & implementation Assembly Computer Science.
Building Maps and Navigation for Autonomous Robots Arindam Khaled AI and Knowledge Based Sys II.
VEX Robotics Design System Sensors A Brief Overview
Simultaneous Localization and Mapping
Mobile Agent Migration Problem Yingyue Xu. Energy efficiency requirement of sensor networks Mobile agent computing paradigm Data fusion, distributed processing.
Geography Examples. Example 1 - Very simple map that shows which capital goes with which.
Realtime Robotic Radiation Oncology Brian Murphy 4 th Electronic & Computer Engineering.
Principle Investigator: Lynton Dicks Supervisor: Karen Bradshaw CO-OPERATIVE MAPPING AND LOCALIZATION OF AUTONOMOUS ROBOTS.
1 SDP09 Team Siqueira Rohan Balakrishnan (CSE) Conan Jen (EE) Andrew Lok (EE) Jonathan Tang (EE) MAPPER: A Perfectly Portable Exploration Robot.
Monte-Carlo based Expertise A powerful Tool for System Evaluation & Optimization  Introduction  Features  System Performance.
Ghislain Fouodji Tasse Supervisor: Dr. Karen Bradshaw Computer Science Department Rhodes University 24 March 2009.
Lynton Dicks Supervisor: Karen Bradshaw CO-OPERATIVE MAPPING AND LOCALIZATION OF AUTONOMOUS ROBOTS.
Goal Finding Robot using Fuzzy Logic and Approximate Q-Learning
Ghislain Fouodji Tasse Supervisor: Dr. Karen Bradshaw Computer Science Department Rhodes University 04 August 2009.
VEX and Robot C Chris Patterson Frisco ISD CTE Center Presented by.
Swarm Robotics Research Team A Robotic Application of the Ant Colony Optimization Algorithm The Ant Colony Optimization (ACO) algorithm is generally used.
Template-Based Manipulation in Unstructured Environments for Supervised Semi-Autonomous Humanoid Robots Alberto Romay, Stefan Kohlbrecher, David C. Conner,
How a topographical map is made.
EV3 Attachments and Sensors. Ultrasonic Sensor  Purpose: detect distance from an object.  What it does: Generates sound waves and reads their echoes.
Self-Navigation Robot Using 360˚ Sensor Array
COGNITIVE APPROACH TO ROBOT SPATIAL MAPPING
Using the Colour Sensor
Autonomous Robot Platform
What are the key components of your robot?
Networks of Autonomous Unmanned Vehicles
© T Madas.
Hexbug Worksheet 02 Definitions of sensors:
Hexbug Worksheet 06 Definitions of sensors:
5 × 7 = × 7 = 70 9 × 7 = CONNECTIONS IN 7 × TABLE
5 × 8 = 40 4 × 8 = 32 9 × 8 = CONNECTIONS IN 8 × TABLE
4 × 6 = 24 8 × 6 = 48 7 × 6 = CONNECTIONS IN 6 × TABLE
5 × 6 = 30 2 × 6 = 12 7 × 6 = CONNECTIONS IN 6 × TABLE
Experiment 20 The Determination of Iron in Foods by Standard Addition
Navigation System on a Quadrotor
10 × 8 = 80 5 × 8 = 40 6 × 8 = CONNECTIONS IN 8 × TABLE MULTIPLICATION.
Presentation transcript:

Cooperative Mapping and Localization using Autonomous Robots Researcher: Shaun Egan Superviser: Dr Karen Bradshaw

Contents Background of the subject Purpose of the investigation The bots The sensors The approach Questions

Background of the subject A wealth of research already done Multiple exploration algorithms – Occupancy maps – Topographical maps Multiple aggregation algorithms – Robots are aware of each other – A server aggregates the maps

Purpose of the investigation To try and find – The most accurate and quick way of mapping – To find the best combination of sensors – To find the most efficient way of aggregating the maps This will be done with the use of – Multiple scenarios (known maps) – The use of a fitness function

The bots Fischertechnik robotics platform – The ROBO kit – The TX explorer Both will have – A range of sensors to use – Bluetooth connectivity

The sensors Both will have the following sets of sensors – Ultrasonic range finders – Colour sensors – Touch sensors

The approach Several algorithms will be implemented A server platform will be implemented A testing environment will be mapped out A fitness function will be implemented Timing and accuracy calculations will be done

Questions ?