Event-Based Navigation at 9000 ft.. Group structure Tobi Bert & Shih-Chii Matthew & Jorg Hugo, Adam & Josh A.

Slides:

Advertisements

Similar presentations

Petri Horttanainen.  The goal  Execution  Results  Aftermath Petri Horttanainen.

Advertisements

Gears 2 nd Period TED. What is a gear? A toothed mechanical part, e.g. a wheel or cylinder, that engages with a similar toothed part to transmit motion.

Insect Electrophysiology and Training Bee hive entrance/exit counting using DVS Brian H. Smith, Robyn Verrinder and Tobi Delbruck.

The First Flight of EUSO Balloon a prototype of JEM-EUSO Jim Adams a, Evgeny Kuznetsov a, Matthew Rodencal a, Jurgen Sawatzki a, Mark Christl b, Lawrence.

Robot Programming. Programming Behaviors Behaviors describe the actions and decisions of your robot.

SA-1 Body Scheme Learning Through Self-Perception Jürgen Sturm, Christian Plagemann, Wolfram Burgard.

2 nd Derivatives, and the Chain Rule (2/2/06) The second derivative f '' of a function f measures the rate of change of the rate of change of f. On a graph,

IAT 800 Braitenberg Vehicles. Oct 31, Fall 2006IAT 8002 Outline  Braitenberg vehicles –Concept behind vehicles –Introduce several vehicles –Look through.

Automatic Control & Systems Engineering Autonomous Systems Research Mini-UAV for Urban Environments Autonomous Control of Multi-UAV Platforms Future uninhabited.

Right Face Introductory Presentation. Opening Activity How can you use this to make a right turn program? This is your program from Full Speed Ahead to.

1 6/21/2015 Space Cowboys Team Project Final Report Mobility Subsystem Brett Padgett.

Design of Autonomous Navigation Controllers for Unmanned Aerial Vehicles using Multi-objective Genetic Programming Gregory J. Barlow March 19, 2004.

1 Autonomous Controller Design for Unmanned Aerial Vehicles using Multi-objective Genetic Programming Gregory J. Barlow North Carolina State University.

LOVE M. GANDHI & SHANKHLA JITENDRA M.. eye power ROBOT with flying system guided by Mrs. VAISHALI CHAUDHARY Present ADVANCE GROUP eye power R RR ROBOT.

EIGHTH GRADE ROBOTICS KITTATINNY REGIONAL HIGH SCHOOL MR. SHEA Robot Construction & Programming Basics

Professor Walter W. Olson Department of Mechanical, Industrial and Manufacturing Engineering University of Toledo Solving ODE.

Kalman filter and SLAM problem

Construction and Motion control of a mobile robot using Visual Roadmap

Waikato Margaret Jefferies Dept of Computer Science University of Waikato.

Computer Science Lego Robotics Lab 07 Page 51. CS Lego Robotics Lab 07 (Updated ) Objectives: 1.Extend the Lego robot with three sensors. 2.Program.

Adapted for STLP Camp ‘09 Mobile Robots Why do robots need to move?

Flakey Flakey's BackFlakey's Front. Flakey's Control Architecture The following is cited from the SRI web pages: Overview SRI's mobile robot, Flakey,

Coverage Efficiency in Autonomous Robots With Emphasis on Simultaneous Localization and Mapping Mo Lu Computer Systems Lab Final Version.

1 Mean shift and feature selection ECE 738 course project Zhaozheng Yin Spring 2005 Note: Figures and ideas are copyrighted by original authors.

Distributed Computation in MANets Robot swarm developed by James Rice University.

A Framework for use in SLAM algorithms Principle Investigator: Shaun Egan Supervisor: Dr. Karen Bradshaw.

Autonomous Air & Ground Surveillance Unit Objectives, Preliminary Specifications, and Option Analysis.

Josh Chao Francis Fernandes Denny Lie Jackson Tanis April 20 th 2009 Georgia Institute of Technology College of Engineering School of Electrical and Computer.

AI and Robotics. Look at video clip and think about Input – Camera – Touch – Proximity – Wi Fi input Output parts – Motors/Legs/Wheels Sensors – Impact.

Robotics. What is a robot? Have you seen a robot? Where? – In a photo? – Video? – In real life?

Programming – Remote Control Statements Intro to Robotics.

MIR – Mobile Intelligence Robot By Jason Abbett and Devon Berry.

SLego: A Squeak Implementation of Lego Mindstorms Alexandre Bergel Institut fuer Mathematik und Informatik University Bern

Field Robot Project to Develop a Fully Autonomous Vehicle for a Field Environment.

Efficient Visual Object Tracking with Online Nearest Neighbor Classifier Many slides adapt from Steve Gu.

CHROMATIC TRAILBLAZER 25 th November, 2008 University of Florida, Department of Electrical & Computer Engineering, Intelligent Machine Design Lab (EEL.

Principle Investigator: Lynton Dicks Supervisor: Karen Bradshaw CO-OPERATIVE MAPPING AND LOCALIZATION OF AUTONOMOUS ROBOTS.

Control 3 Keypoints: PID control

Quadcopters A CEV Talk. Agenda Flight PreliminariesWhy Quadcopters The Quadcopter SystemStability: The NotionSensors and FusionControl AlgorithmsThe Way.

1 Offline Week, October 28 th 2009 PWG3-Muon: Analysis Status From ESD to AOD:  inclusion of MC branch in the AOD  standard AOD creation for PDC09 files.

Intro. Interfacing & Electronics 1 Interfacing Introduction.

A neurotransmitter that can read peoples mind –Conscious and non conscious thoughts Based on EEG 16 sensors Compatible with any PC Wireless.

PAPER ROLLER COASTERS INSTRUCTIONS EXAMPLES VIDEOS.

Introduction to EV3. Many Different Types of Robots Snake Robot.

Wheels: Go Forward Speakers: Say “Hello” OSCAR: Go Forward Say “Hello” Remote Control PC.

ROBOTC for VEX Robotics (VEX IQ) On-Line Session 2014 My name is Jason McKenna I will be leading you through these sessions Teacher for 17 years Hopewell.

Equipment Buy-Off Process (Red Tag Process) g-Comply.

Mobile Robots Why do robots need to move?. What defines a robot? Sense – a robot has to take in information about its environment Plan – a robot has to.

Lab 8 No Wheels Allowed. Challenge! Build a mobile robot capable of: – Moving around! – Crossing a hurdle without touching it!

Probabilistic Robotics Bayes Filter Implementations Gaussian filters.

Eye-Tracking Devices An Assistive Technology

IEEE ROBOTICS Sponsored By: Texas State IEEE Chapter

Nicole looks at faces Development of a visual robot interface to interpret facial expressions NICOLE: Future robots will share their environment with humans.

Today we will graph linear equations in slope intercept form.

VEX IQ Mix & Match Curriculum

Azure Machine Learning Noam Brezis Madeira Data Solutions

European Robotic Pedestrian Assistant 2.0 Wolfram Burgard

Driving Question for Page 23 in ISN

Programming – Remote Control Statements

Cross-Channel Tesla Motors Autos Highlight Company Market Landscape

Repeating Behaviors.

Line Following Behavior

Mobile Robot Kinematics

Lecture 23: Structure from motion 2

All about Robotics Robotics Junior.

Demo Video For A Travel Agency

Tobi Delbruck, Christian Brandli, Dan Neil Inst. of Neuroinformatics

Costing at the Boundaries of the Firm

Industrial Robotics.

Presentation transcript:

Event-Based Navigation at 9000 ft.

Group structure Tobi Bert & Shih-Chii Matthew & Jorg Hugo, Adam & Josh A.

Event-Based Navigation at 9000 ft. Group structure Tobi Bert & Shih-Chii Matthew & Jorg Hugo, Adam & Josh A. Workload

Event-Based Navigation at 9000 ft.

jAER project 1

Event-Based Navigation at 9000 ft. project 1 demo video

Event-Based Navigation at 9000 ft. project 2 Tracking… from lines to crosses base slope base 1 slope base 2

Event-Based Navigation at 9000 ft. project 2 Tracking… from lines to crosses base slope base 1 slope base 2

Event-Based Navigation at 9000 ft. project 2 Tracking… from lines to crosses

Event-Based Navigation at 9000 ft. project 3 Self-controlled helicopter

Event-Based Navigation at 9000 ft. project 3 Self-controlled helicopter It almost sort-of worked

Event-Based Navigation at 9000 ft. Results Wheeled robot closed loop system DVS  jAER  tracking  motor output Framework for tracking complex objects - Extended 2d line tracker to 3d line tracking (cross) principle extends to n-d objects (e.g. composed of n lines) - Gradient update instead of energy landscape Wireless computer based control for flying robot with on-board microcontroller-driven DVS System prepared for on-board processing