'Obstacle avoidance' presentation slideshows

Intelligent Robotics

159.741. Paper Coordinator: Dr. Napoleon H. Reyes, Ph.D. Intelligent Robotics. Computer Science. Institute of Information and Mathematical Sciences. Rm. 2.56 QA, or IIMS Lab 7, Albany Campus. email: n.h.reyes@massey.ac.nz Tel. No.: 64 9 4140800 x 9512 or 41572

437 views • 27 slides

Friday, 4/8/2011 Professor Wyatt Newman

Smart Wheelchairs. Friday, 4/8/2011 Professor Wyatt Newman. Outline. What/Why Smart Wheelchairs? Incremental Modules Reflexive collision avoidance Localization, trajectory generation, steering and smart buildings Speech-driven wheelchair control Natural language interfaces .

430 views • 24 slides

Modeling th e world

Modeling th e world. a possible parsing of informatics. Health-. By Erik Stolterman. Towards problem solving Beyond computing Into the natural and social Synthesis of information technology Two -dimensional science? Empirical , computer-aided study of organization. Geo-.

349 views • 24 slides

DAMN : A Distributed Architecture for Mobile Navigation

DAMN : A Distributed Architecture for Mobile Navigation. Julio K. Rosenblatt Presented By: Chris Miles. Goal. Behavior based systems Easy arbitration between all kinds of behaviors Working towards different objectives Different time scales Work towards simultaneous objectives. Motivation.

344 views • 23 slides

Team Name: Domo Arigato Robot Name: Chipotle 1

Team Members : Jason DiSalvo Brian Eckerly Arun Rajmohan Neal Mehan Keun Young Jang. Team Name: Domo Arigato Robot Name: Chipotle 1. Accomplished. Week 1, 2 & 3 familiarized with Linux, player and overall understanding Week 4, 5 & 6

305 views • 19 slides

Minesweeping Robot

Minesweeping Robot. Group 25 Team Digger Robot Charles Hateley Paul Lapides Sean Gifford Dr. Chris Macnab. Team Background. Charles (ENCM) EPCM experience in Industrial Automation, Process Control, Instrumentation and Project Engineering. Paul (ENCM)

369 views • 18 slides

On Three-Layer Architecture

520 views • 15 slides

EE887 Special Topics in Robotics

EE887 Special Topics in Robotics. Paper Review. Initial Results in the Development of a Guidance System for a Powered Wheelchair. 2000. 6. 7. BSCL Lee Hyong Euk. General Idea of this paper. The autonomous navigation and the control of wheelchair.

261 views • 14 slides

Long Range Vehicle Control (Super Tank)

188 views • 11 slides

Obstacle Departure Procedures and Takeoff Minimums

444 views • 11 slides

Obstacle Avoidance using Machine Vision

Obstacle Avoidance using Machine Vision. Joose Rautemaa 09455759. Introduction . A control system for a car that can avoid obstacles using Machine Vision D eveloped on and for a model car, could possibly be used in a real car too with minor modifications

274 views • 9 slides

O B S T A C L E A V O I D E R U S I N G S E N S O R T E C H N O L O G Y

O B S T A C L E A V O I D E R U S I N G S E N S O R T E C H N O L O G Y. Kiran kumar Dileep raju Bojja Haranath. What is a sensor?. Wikipedia Definition

183 views • 9 slides

Final Oral Report

213 views • 9 slides

Introduction to Path Planning

Introduction to Path Planning. Ji-Wung Choi. System Architecture. Configuration Space. Translating Polygon in 2-D Workspace [ Latombe ]. reference point. Disc Robot in 2-D Workspace [ Latombe ]. Configuration space C. Workspace W. path. y. x.

278 views • 9 slides

162 views • 7 slides

192 views • 7 slides

Eurobot 2011 Draft Rules

191 views • 6 slides

Another Forking Robot a.k.a. AFR

Another Forking Robot a.k.a. AFR. Matt Silverman IMDL Summer 99. Why a Forklift. Wasted human resources Cheaper labor Simpler locating items. Physical Design. Platform Oval shape, two rear servos, front guide wheels IR emitters and detectors Forks Drawer slides Threaded rod.

156 views • 6 slides

Robotics Industry Posts Second Best Year Ever

Robotics Industry Posts Second Best Year Ever. North American robotics industry posted its second best year ever in 2000 [Robotic Industries Association (RIA)]

118 views • 4 slides

Intelligent Adaptive Mobile Robots

sensing. reward. world. action. agent. Intelligent Adaptive Mobile Robots. Make robot learning practical by integration with human-supplied knowledge Solve huge problems through continuous reframing Achieve robustness by explicit uncertainty modeling and information gathering.

129 views • 1 slides