Working With WarKing. Overview Strengths and Weaknesses of the Scribbler Easiest, Hardest, Coolest Secret Weapons.

Slides:

Advertisements

Similar presentations

Father, I place into Your hands

Advertisements

Sensing the World Intro to Robots.

By Quynh Huynh. Overview Small, low cost introductory robot (i.e. it’s meant to be educational) Fully programmable Targeted at kids ages 8+ Mostly used.

Computer Programming with Robots. Computer programming consists of writing lines of code in a language that a computer will understand to solve a problem.

Project Progress Presentation Coffee delivery mission Dec, 10, 2007 NSH 3211 Hyun Soo Park, Iacopo Gentilini 1.

Computer Vision. Computer vision is concerned with the theory and technology for building artificial Computer vision is concerned with the theory and.

Embedded Programming and Robotics

Intermediate GNVQ ICT Input Devices and Methods Manual input devices are used by people to enter data by hand. Keyboard Pointing devices Joystick Digital.

GCSE Information Technology Input Devices and Methods 3 Manual input devices are used by people to enter data by hand. Keyboard Pointing devices Joystick.

REAL ROBOTS. iCub It has a height of 100 cm, weighs 23 Kg, and is able to recognize and manipulate objects. Each hand has 9 DOF and can feel objects almost.

Nadder Al-Ajmi.  Sign language is known for being an effective tool of communication for those that are deaf, hard of hearing and deafened. However sign.

Exploration Discovery Sensor. What are your Senses? Draw yourself and label each of your “senses” Senses are parts of you that interact with what is around.

Sponsor –UROP –ZWORLD Corp. –W. M. Berg Corp. Advisor –Professor David J. Reinkensmeyer.

GCSE Information Technology Input Devices and Methods Objectives:  To understand what input devices are.  Identify their individual uses  Be able to.

 A Spy robot is a mobile robot that can go through any neighborhood for the mission of your rescue team.  As the name suggests, Spy robot is a rescue.

The Importance of Play Ch. 24.

By: Andrea Sloane COMP 4620 Fall Human-Like Robots and Androids are Designed to Resemble Humans in the Most Life-Like Fashion Possible Human-like.

Ch 2 Class Exercise 3. Lego in Consumer Robotics 1.Lego was facing fierce competition from computer games; declining birth rate. 2.Other segments: Housewives:

Waikato Margaret Jefferies Dept of Computer Science University of Waikato.

An Ho IMDL Spring 2014 Instructors: Dr. Arroyo & Dr. Schwartz TA: Andrew Gray.

By: Suleiman. I always have trouble when it comes to video games. I always beat them. And I always get board of them. So I asked y mom to buy me a knew.

Distributed Computing Rik Sarkar. Distributed Computing Old style: Use a computer for computation.

INTRODUCTION Generally, after stroke, patient usually has cerebral cortex functional barrier, for example, the impairment in the following capabilities,

The Eos-Explorer CHENRAN YE IMDE ECE 4665/5666 Fall 2011.

S ENSORS U SED I N G AMES By Wusqa Waqar. What are sensors and how are they used in games? A sensor is a converter that measures a physical quantity and.

Juhana Leiwo – Marco Torti.  House  Hospital  Industry  Warehouse  Sports Hall  Airport  Restaurant  Condominium SMS sending for important tasks.

Somerset Berkley Regional High School Robotics Engineering with LabView Mobile Burger King.

Scribblers By Michael Borke. Outline 1. Scribbler Strengths and Weaknesses 2. Easiest things to do with it 3. Coolest things it can do 4. What I bring.

 Designed to monitor the movement of people in given area.  Used video cameras to transmit a signal to a specific place on a limited set of monitors.

Model of the Human  Name Stan  Emotion Happy  Command Watch me  Face Location (x,y,z) = (122, 34, 205)  Hand Locations (x,y,z) = (85, -10, 175) (x,y,z)

 Motivated by desire for natural human-robot interaction  Encapsulates what the robot knows about the human  Identity  Location  Intentions Human.

Facial Recognition and Verification with Mobile Devices.

CONTENTS INTRODUCTION TO A.I. WORKING OF A.I. APPLICATIONS OF A.I. CONCLUSIONS ON A.I.

Pleo Progress Lizz Brooks. Overview  Easiest, Coolest, Hardest  Plug and play, programming, sensors  Resources  Secret Weapon  Capabilities & Limitations.

CS332 Visual Processing Department of Computer Science Wellesley College CS 332 Visual Processing in Computer and Biological Vision Systems Overview of.

Multiplication My favorite method is distributive! It is so easy! I really like the lattice method. It is fun to draw that box thing. Ya’ll are crazy!

Introduction TYWu. Applications Games –Microsoft Kinect Motion Sensor.

Capable of Blu-Ray high definition graphical quality and ability to use Blu-Ray discs. Free access to the PlayStation Network and Free online access HDMI.

Unit 34 2D Animation Essay Learning Outcome 1: Understand the techniques and development of 2D animation.

Presented by: Mrs. Rex. Today’s Learning Targets  I can describe my strengths that will help me be successful at school.  I can describe my weaknesses.

More Love, More Power CCLI# More love, more power More of you in my life.

More Love, More Power More love More power, More of You in my life.

Product: Microsoft Kinect Team I Alex Styborski Brandon Sayre Brandon Rouhier Section 2B.

Robotics Overview Eric Kapitanski. Summary Easiest Coolest Demo Hardest Wish list Secret weapon.

MORE LOVE MORE POWER. More love more power more of You in my life. More love more power more of You in my life.

Assistive Devices for Children with Special Needs Marilyn C. Johnson EDU271 Mid Term Project October 15, 2013.

USBCable BluetoothWireless Short Distances Personal Area Networking Wi-FiWireless Ethernet, Router, Local Area Networking, buildings, home, shops, schools,

Metal Detector Robotic Vehicle

Second Eye Project Outline Structure Main Feature Strength

Name of School.

that you love one another, that your joy may be full

Treasure Chess ECE 477 Team 2 Brock Caley Sidharth Malik Parul Schroff

Leadership Compass Michele Rastovich 2016 Prevention Summit

AS Unit 1 Low Level 5.

Xbox Kinect (Microsoft)

CS 7455 Term Project Robot control by Machine learning

Build your own sensing device

M.VIKRAMADITYAN Graduate Student Mechanical Engineering

Team KANG Ilya Veygman Alan Bernstein Ian Alsman Darshan Shah

Integrated System Robot Project

Father, I place into Your hands J Hewer Mission Praise - number 133

HOARD Robotics Horde of Autonomous Robotic Devices Project Overview

Face Detection Gender Recognition 1 1 (19) 1 (1)

These Hands These hands, this heart, This voice, my God These hands, this heart.

IBM - CVUT Student Research Projects

Practice Geometry Practice

Scribbler Final Presentation

More love, more power More love, more power, more of you in my life.

Inferiority Complex - By

Presentation transcript:

Working With WarKing

Overview Strengths and Weaknesses of the Scribbler Easiest, Hardest, Coolest Secret Weapons

Strengths mobility drawing abilities variety of sensors (IR, line, stall, camera) versatile fun to work with doesn’t emote easily can’t receive voice commands or speak imprecise, unpredictable movement not yet compatible with C++ Weaknesse s

Basic drawings Making gifs Wide range of motion Easiest Hardest Coolest Drawing mandalas Large scale games Face recognition? Sensing lines drawn by other robots Refined motion detection Emoting/giving robots a personality

The Arsenal connects with children very organized inquisitive/questioni ng takes criticism well loves Geometry My Secret Weapons