Mobile Microrobotics by Metin Sitti
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Assembly Automation with Evolutionary Nanorobots and Sensor-Based Control Applied to Nanomedicine
IEEE Transactions on Nanotechnology, Vol. 2, no. 2, June 2003 82 Assembly Automation with Evolutionary Nanorobots and Sensor-Based Control applied to Nanomedicine Adriano Cavalcanti, Member, IEEE Germany only the Federal Ministry of Education and Research Abstract—The author presents a new approach within has announced 50 million Euros to be invested in the years advanced graphics simulations for the problem of nano-assembly 2002-2006 in research and development on nanotechnology automation and its application for medicine. The problem under [21]. More specifically the firm DisplaySearch predicts rapid study concentrates its main focus on nanorobot control design for assembly manipulation and the use of evolutionary competitive market growth from US$ 84 million today to $ 1.6 Billion in agents as a suitable way to warranty the robustness on the 2007 [20]. A first series of commercially nanoproducts has proposed model. Thereby the presented paper summarizes as well been announced also as foreseeable for 2007, and to reach this distinct aspects of some techniques required to achieve a goal of build organic electronics, firms are forming successful nano-planning system design and its simulation collaborations and alliances that bring together new visualization in real time. nanoproducts through the joint effort from companies such as IBM, Motorola, Philips Electronics, PARC, Xerox, Hewlett Index Terms—Biomedical computing, control systems, genetic algorithms, mobile robots, nanotechnology, virtual reality. Packard, Dow Chemical, Bell Laboratories, Intel Corp., just to quote a few ones [13], [20]. Building patterns and manipulating atoms with the use of I.INTRODUCTION Scanning Probe Microscope (SPM) such as Atomic Force he presented paper describe the design and simulation of Microscopy and Scanning Tunneling Microscopy has been Ta mobile nanorobot in atomic scales to perform used with satisfactory success as a promising approach for the biomolecular assembly manipulation for nanomedicine [12]. -
Artificial Intelligence, Automation, and Work
Artificial Intelligence, Automation, and Work The Economics of Artifi cial Intelligence National Bureau of Economic Research Conference Report The Economics of Artifi cial Intelligence: An Agenda Edited by Ajay Agrawal, Joshua Gans, and Avi Goldfarb The University of Chicago Press Chicago and London The University of Chicago Press, Chicago 60637 The University of Chicago Press, Ltd., London © 2019 by the National Bureau of Economic Research, Inc. All rights reserved. No part of this book may be used or reproduced in any manner whatsoever without written permission, except in the case of brief quotations in critical articles and reviews. For more information, contact the University of Chicago Press, 1427 E. 60th St., Chicago, IL 60637. Published 2019 Printed in the United States of America 28 27 26 25 24 23 22 21 20 19 1 2 3 4 5 ISBN-13: 978-0-226-61333-8 (cloth) ISBN-13: 978-0-226-61347-5 (e-book) DOI: https:// doi .org / 10 .7208 / chicago / 9780226613475 .001 .0001 Library of Congress Cataloging-in-Publication Data Names: Agrawal, Ajay, editor. | Gans, Joshua, 1968– editor. | Goldfarb, Avi, editor. Title: The economics of artifi cial intelligence : an agenda / Ajay Agrawal, Joshua Gans, and Avi Goldfarb, editors. Other titles: National Bureau of Economic Research conference report. Description: Chicago ; London : The University of Chicago Press, 2019. | Series: National Bureau of Economic Research conference report | Includes bibliographical references and index. Identifi ers: LCCN 2018037552 | ISBN 9780226613338 (cloth : alk. paper) | ISBN 9780226613475 (ebook) Subjects: LCSH: Artifi cial intelligence—Economic aspects. Classifi cation: LCC TA347.A78 E365 2019 | DDC 338.4/ 70063—dc23 LC record available at https:// lccn .loc .gov / 2018037552 ♾ This paper meets the requirements of ANSI/ NISO Z39.48-1992 (Permanence of Paper). -
Using Robotics to Equip K-12 Teachers: Silicon Prairie Initiative for Robotics in Information Technology (Spirit)
AC 2009-2198: USING ROBOTICS TO EQUIP K-12 TEACHERS: SILICON PRAIRIE INITIATIVE FOR ROBOTICS IN INFORMATION TECHNOLOGY (SPIRIT) Alisa Gilmore, University of Nebraska - Lincoln Alisa N. Gilmore, P.E. is a Senior Lecturer in the Department of Computer and Electronics Engineering at the University of Nebraska-Lincoln. She serves as senior technical staff for two NSF grants in the ITEST and Discovery K-12 programs associated with using robotics in the K-12 arena to motivate student achievement in STEM activities. She has been involved as a community outreach speaker, presenter, and collaborator with local schools, students, and teachers for over ten years, working to expose pre-college students to engineering. Ms. Gilmore has extensive industrial experience in the telecommunications and manufacturing areas, and since 2003 has used her industry background to foster industrial partnerships at the university and to develop and teach courses in circuits, telecommunications, and robotics. Bing Chen, UNL Dr. Bing Chen is chairman of the Department of Computer and Electronics Engineering on the Omaha campus of the College of Engineering, University of Nebraska - Lincoln at the Peter Kiewit Institute. He is the Principal Investigator on three NSF grants involving levels K-16 in educational robotics. His primary interest involves providing a continuous exposure to students with educational robotics both within a classroom environment and in after school settings year round to stimulate student creativity and possible pursuit of STEM careers in order to meet national long term needs and global challenges posed by competitive engineering programs overseas. His other long term research interest has been in the area of renewable energy. -
Detecting Automation of Twitter Accounts: Are You a Human, Bot, Or Cyborg?
IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING, VOL. 9, NO. X, XXXXXXX 2012 1 Detecting Automation of Twitter Accounts: Are You a Human, Bot, or Cyborg? Zi Chu, Steven Gianvecchio, Haining Wang, Senior Member, IEEE, and Sushil Jajodia, Senior Member, IEEE Abstract—Twitter is a new web application playing dual roles of online social networking and microblogging. Users communicate with each other by publishing text-based posts. The popularity and open structure of Twitter have attracted a large number of automated programs, known as bots, which appear to be a double-edged sword to Twitter. Legitimate bots generate a large amount of benign tweets delivering news and updating feeds, while malicious bots spread spam or malicious contents. More interestingly, in the middle between human and bot, there has emerged cyborg referred to either bot-assisted human or human-assisted bot. To assist human users in identifying who they are interacting with, this paper focuses on the classification of human, bot, and cyborg accounts on Twitter. We first conduct a set of large-scale measurements with a collection of over 500,000 accounts. We observe the difference among human, bot, and cyborg in terms of tweeting behavior, tweet content, and account properties. Based on the measurement results, we propose a classification system that includes the following four parts: 1) an entropy-based component, 2) a spam detection component, 3) an account properties component, and 4) a decision maker. It uses the combination of features extracted from an unknown user to determine the likelihood of being a human, bot, or cyborg. Our experimental evaluation demonstrates the efficacy of the proposed classification system. -
Shape-Memory Polymeric Artificial Muscles Stress That Is Applied to the Polymer [8,70]
molecules Review Shape-Memory Polymeric Artificial Muscles: Mechanisms, Applications and Challenges 1, 1, 1, , 1 2 2 Yujie Chen y , Chi Chen y, Hafeez Ur Rehman * y, Xu Zheng , Hua Li , Hezhou Liu and Mikael S. Hedenqvist 3,* 1 State Key Laboratory of Metal Matrix Composites, School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; [email protected] (Y.C.); [email protected] (C.C.); [email protected] (X.Z.) 2 Collaborative Innovation Centre for Advanced Ship and Dee-Sea Exploration, Shanghai Jiao Tong University, Shanghai 200240, China; [email protected] (H.L.); [email protected] (H.L.) 3 Department of Fibre and Polymer Technology, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, SE-100 44 Stockholm, Sweden * Correspondence: [email protected] (H.U.R.); [email protected] (M.S.H.) These authors contributed equally to this work. y Academic Editor: Laura Peponi Received: 7 July 2020; Accepted: 3 September 2020; Published: 16 September 2020 Abstract: Shape-memory materials are smart materials that can remember an original shape and return to their unique state from a deformed secondary shape in the presence of an appropriate stimulus. This property allows these materials to be used as shape-memory artificial muscles, which form a subclass of artificial muscles. The shape-memory artificial muscles are fabricated from shape-memory polymers (SMPs) by twist insertion, shape fixation via Tm or Tg, or by liquid crystal elastomers (LCEs). The prepared SMP artificial muscles can be used in a wide range of applications, from biomimetic and soft robotics to actuators, because they can be operated without sophisticated linkage design and can achieve complex final shapes. -
2011 Annual Report MESSAGE from AUVSI PRESIDENT & CEO, MICHAEL TOSCANO
2011 ANNUAL REPORT MESSAGE FROM AUVSI PRESIDENT & CEO, MICHAEL TOSCANO AUVSI and the unmanned systems community as a whole had another strong year in 2011 — capabilities increased across the board, as did interest in what unmanned systems can deliver. AUVSI is only as strong as its members, and our membership continued its upward climb throughout the year. There was also greater activity by local AUVSI chapters; we added several new chapters and many existing ones conducted successful events in 2011 that will help promote and field unmanned systems. Belonging to a chapter is an excellent way to get involved with unmanned systems at the local community level. We enjoyed record-breaking attendance at AUVSI’s Unmanned Systems Program Review 2011 and AUVSI’s Unmanned Systems North America 2011 and look forward to continued growth this year. We also stepped up our advo- cacy efforts, including hosting another successful AUVSI Day on Capitol Hill and forging more partnerships with other groups that have a stake in unmanned systems. Unmanned systems were frequently in the news during the year, and we helped put them there by hosting a National Press Club event in Washington to highlight the varied uses of unmanned systems and robotics. Unmanned systems helped monitor and clean up the Fukushima Dai-ichi nuclear plant in Japan in the wake of the devastating earthquake and tsunami. They also assisted in the attack on Osama bin Laden, performed unexploded ordnance range clearance at Camp Guernsey, provided assisting technology to the National Federation of the Blind’s Blind Driver Challenge and supported state and local law enforcement, among many other uses. -
Human to Robot Whole-Body Motion Transfer
Human to Robot Whole-Body Motion Transfer Miguel Arduengo1, Ana Arduengo1, Adria` Colome´1, Joan Lobo-Prat1 and Carme Torras1 Abstract— Transferring human motion to a mobile robotic manipulator and ensuring safe physical human-robot interac- tion are crucial steps towards automating complex manipu- lation tasks in human-shared environments. In this work, we present a novel human to robot whole-body motion transfer framework. We propose a general solution to the correspon- dence problem, namely a mapping between the observed human posture and the robot one. For achieving real-time imitation and effective redundancy resolution, we use the whole-body control paradigm, proposing a specific task hierarchy, and present a differential drive control algorithm for the wheeled robot base. To ensure safe physical human-robot interaction, we propose a novel variable admittance controller that stably adapts the dynamics of the end-effector to switch between stiff and compliant behaviors. We validate our approach through several real-world experiments with the TIAGo robot. Results show effective real-time imitation and dynamic behavior adaptation. Fig. 1. Transferring human motion to robots while ensuring safe human- This constitutes an easy way for a non-expert to transfer a robot physical interaction can be a powerful and intuitive tool for teaching assistive tasks such as helping people with reduced mobility to get dressed. manipulation skill to an assistive robot. The classical approach for human motion transfer is I. INTRODUCTION kinesthetic teaching. The teacher holds the robot along the Service robots may assist people at home in the future. trajectories to be followed to accomplish a specific task, However, robotic systems still face several challenges in while the robot does gravity compensation [6]. -
Make Robots Be Bats: Specializing Robotic Swarms to the Bat Algorithm
© <2019>. This manuscript version is made available under the CC- BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc- nd/4.0/ Accepted Manuscript Make robots Be Bats: Specializing robotic swarms to the Bat algorithm Patricia Suárez, Andrés Iglesias, Akemi Gálvez PII: S2210-6502(17)30633-8 DOI: 10.1016/j.swevo.2018.01.005 Reference: SWEVO 346 To appear in: Swarm and Evolutionary Computation BASE DATA Received Date: 24 July 2017 Revised Date: 20 November 2017 Accepted Date: 9 January 2018 Please cite this article as: P. Suárez, André. Iglesias, A. Gálvez, Make robots Be Bats: Specializing robotic swarms to the Bat algorithm, Swarm and Evolutionary Computation BASE DATA (2018), doi: 10.1016/j.swevo.2018.01.005. This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. ACCEPTED MANUSCRIPT Make Robots Be Bats: Specializing Robotic Swarms to the Bat Algorithm Patricia Su´arez1, Andr´esIglesias1;2;:, Akemi G´alvez1;2 1Department of Applied Mathematics and Computational Sciences E.T.S.I. Caminos, Canales y Puertos, University of Cantabria Avda. de los Castros, s/n, 39005, Santander, SPAIN 2Department of Information Science, Faculty of Sciences Toho University, 2-2-1 Miyama 274-8510, Funabashi, JAPAN :Corresponding author: [email protected] http://personales.unican.es/iglesias Abstract Bat algorithm is a powerful nature-inspired swarm intelligence method proposed by Prof. -
An Introduction to the NASA Robotics Alliance Cadets Program
Session F An Introduction to the NASA Robotics Alliance Cadets Program David R. Schneider, Clare van den Blink NASA, DAVANNE, & Cornell University / Cornell University CIT [email protected], [email protected] Abstract The 2006 report National Defense Education and Innovation Initiative highlighted this nation’s growing need to revitalize undergraduate STEM education. In response, NASA has partnered with the DAVANNE Corporation to create the NASA Robotics Alliance Cadets Program to develop innovative, highly integrated and interactive curriculum to redesign the first two years of Mechanical Engineering, Electrical Engineering and Computer Science. This paper introduces the NASA Cadets Program and provides insight into the skill areas targeted by the program as well as the assessment methodology for determining the program’s effectiveness. The paper also offers a brief discussion on the capabilities of the program’s robotic platform and a justification for its design into the program. As an example of the integration of the robotic platform with the program’s methodologies, this paper concludes by outlining one of the first educational experiments of NASA Cadets Program at Cornell University to be implemented in the Spring 2007 semester. I. Introduction To be an engineer is to be a designer, a creator of new technology, and the everyday hero that solves society’s problems through innovative methods and products by making ideas become a reality. However, the opportunity to truly explore these key concepts of being an engineer are often withheld from most incoming engineering students until at least their junior year causing many new students to lose motivation and potentially leave the program. -
Autonomous Mobile Robots Annual Report 1985
The Mobile Robot Laboratory Sonar Mapping, Imaging and Navigation Visual Navigation Road Following i Motion Control The Robots Motivation Publications Autonomous Mobile Robots Annual Report 1985 Mobile Robot Laboratory CM U-KI-TK-86-4 Mobile Robot Laboratory The Robotics Institute Carncgie Mcllon University Pittsburgh, Pcnnsylvania 15213 February 1985 Copyright @ 1986 Carnegie-Mellon University This rcscarch was sponsored by The Office of Naval Research, under Contract Number NO00 14-81-K-0503. 1 Table of Contents The Mobile Robot Laboratory ‘I’owards Autonomous Vchiclcs - Moravcc ct 31. 1 Sonar Mapping, Imaging and Navigation High Resolution Maps from Wide Angle Sonar - Moravec, et al. 19 A Sonar-Based Mapping and Navigation System - Elfes 25 Three-Dirncnsional Imaging with Cheap Sonar - Moravec 31 Visual Navigation Experiments and Thoughts on Visual Navigation - Thorpe et al. 35 Path Relaxation: Path Planning for a Mobile Robot - Thorpe 39 Uncertainty Handling in 3-D Stereo Navigation - Matthies 43 Road Following First Resu!ts in Robot Road Following - Wallace et al. 65 A Modified Hough Transform for Lines - Wallace 73 Progress in Robot Road Following - Wallace et al. 77 Motion Control Pulse-Width Modulation Control of Brushless DC Motors - Muir et al. 85 Kinematic Modelling of Wheeled Mobile Robots - Muir et al. 93 Dynamic Trajectories for Mobile Robots - Shin 111 The Robots The Neptune Mobile Robot - Podnar 123 The Uranus Mobile Robot, a First Look - Podnar 127 Motivation Robots that Rove - Moravec 131 Bibliography 147 ii Abstract Sincc 13s 1. (lic Mobilc I<obot IAoratory of thc Kohotics Institute 01' Crrrncfiic-Mcllon IInivcnity has conduclcd hsic rcscarcli in aTCiiS crucial fur ;iiitonomoiis robots. -
The Autonomous Underwater Vehicle Initiative – Project Mako
Published at: 2004 IEEE Conference on Robotics, Automation, and Mechatronics (IEEE-RAM), Dec. 2004, Singapore, pp. 446-451 (6) The Autonomous Underwater Vehicle Initiative – Project Mako Thomas Bräunl, Adrian Boeing, Louis Gonzales, Andreas Koestler, Minh Nguyen, Joshua Petitt The University of Western Australia EECE – CIIPS – Mobile Robot Lab Crawley, Perth, Western Australia [email protected] Abstract—We present the design of an autonomous underwater vehicle and a simulation system for AUVs as part II. AUV COMPETITION of the initiative for establishing a new international The AUV Competition will comprise two different competition for autonomous underwater vehicles, both streams with similar tasks physical and simulated. This paper describes the competition outline with sample tasks, as well as the construction of the • Physical AUV competition and AUV and the simulation platform. 1 • Simulated AUV competition Competitors have to solve the same tasks in both Keywords—autonomous underwater vehicles; simulation; streams. While teams in the physical AUV competition competition; robotics have to build their own AUV (see Chapter 3 for a description of a possible entry), the simulated AUV I. INTRODUCTION competition only requires the design of application Mobile robot research has been greatly influenced by software that runs with the SubSim AUV simulation robot competitions for over 25 years [2]. Following the system (see Chapter 4). MicroMouse Contest and numerous other robot The competition tasks anticipated for the first AUV competitions, the last decade has been dominated by robot competition (physical and simulation) to be held around soccer through the FIRA [6] and RoboCup [5] July 2005 in Perth, Western Australia, are described organizations. -
Radio Frequency Identification Based Smart
ISSN (Online) 2394-6849 International Journal of Engineering Research in Electronics and Communication Engineering (IJERECE) Vol 4, Issue 6, June 2017 Nanorobots – Th Future of Medicine [1] Mokshith.B.R, [2]Tripti Kulkarni [1] [2] Dept of ECE, DSATM , Associate Professor, Dept of ECE,DSATM Abstract: Nanoscale devices are able to perform better with reduced time researches in nanotechnology brought newer approaches in the field of medicine. This context focuses on the components of the nanorobots and the employment of nanorobots for removing the heart blocks, cancer treatment and many more health care applications in more effective and accurate manner. Current diagnostic measures include painful processes like the angiogram. The treatment for the block is also extremely dangerous, time consumin g and painful. Angioplasty, although having the higher success rate, is old fashioned. Today’s technology promises a lot more than the insertion of a thin tube into the blood vessels. This context focuses the brief study on nanorobots and its benefits, the current process of diagnostics and therapy. Later t he idea of curing these heart blocks, cancer tumours and brain aneurysm using nanorobots is discussed in a theoretical and imaginative a pproach. I. INTRODUCTION II. NANOROBOTS AND KEY COMPONENTS Nanorobotics is an emerging technology field Nanorobots are of special interest to researchers in the medical creating machines or robots which components are at or near industry. This has given rise to the field of nanomedicine. It the scale of a nanometre (10−9 meters). More specifically, has been suggested that a fleet of nanorobots might serve as nanorobotics (as opposed to microbotics) refers to the antibodies or antiviral agents in patients with compromised nanotechnology engineering discipline of designing and immune systems, or in diseases that do not respond to more building nanorobots, with devices ranging in size from 0.1-10 conventional measures.