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Behavior Trees in Robotics and AI
Michele Colledanchise and Petter Ogren¨ Behavior Trees in Robotics and AI An Introduction arXiv:1709.00084v4 [cs.RO] 3 Jun 2020 Contents 1 What are Behavior Trees? ....................................... 3 1.1 A Short History and Motivation of BTs . .4 1.2 What is wrong with FSMs? The Need for Reactiveness and Modularity . .5 1.3 Classical Formulation of BTs. .6 1.3.1 Execution Example of a BT . .9 1.3.2 Control Flow Nodes with Memory . 11 1.4 Creating a BT for Pac-Man from Scratch . 12 1.5 Creating a BT for a Mobile Manipulator Robot . 14 1.6 Use of BTs in Robotics and AI . 15 1.6.1 BTs in autonomous vehicles . 16 1.6.2 BTs in industrial robotics . 18 1.6.3 BTs in the Amazon Picking Challenge . 20 1.6.4 BTs inside the social robot JIBO . 21 2 How Behavior Trees Generalize and Relate to Earlier Ideas . 23 2.1 Finite State Machines . 23 2.1.1 Advantages and disadvantages . 24 2.2 Hierarchical Finite State Machines . 24 2.2.1 Advantages and disadvantages . 24 2.2.2 Creating a FSM that works like a BTs . 29 2.2.3 Creating a BT that works like a FSM . 32 2.3 Subsumption Architecture . 32 2.3.1 Advantages and disadvantages . 33 2.3.2 How BTs Generalize the Subsumption Architecture . 33 2.4 Teleo-Reactive programs . 33 2.4.1 Advantages and disadvantages . 34 2.4.2 How BTs Generalize Teleo-Reactive Programs . 35 2.5 Decision Trees . 35 2.5.1 Advantages and disadvantages . -
History of Robotics: Timeline
History of Robotics: Timeline This history of robotics is intertwined with the histories of technology, science and the basic principle of progress. Technology used in computing, electricity, even pneumatics and hydraulics can all be considered a part of the history of robotics. The timeline presented is therefore far from complete. Robotics currently represents one of mankind’s greatest accomplishments and is the single greatest attempt of mankind to produce an artificial, sentient being. It is only in recent years that manufacturers are making robotics increasingly available and attainable to the general public. The focus of this timeline is to provide the reader with a general overview of robotics (with a focus more on mobile robots) and to give an appreciation for the inventors and innovators in this field who have helped robotics to become what it is today. RobotShop Distribution Inc., 2008 www.robotshop.ca www.robotshop.us Greek Times Some historians affirm that Talos, a giant creature written about in ancient greek literature, was a creature (either a man or a bull) made of bronze, given by Zeus to Europa. [6] According to one version of the myths he was created in Sardinia by Hephaestus on Zeus' command, who gave him to the Cretan king Minos. In another version Talos came to Crete with Zeus to watch over his love Europa, and Minos received him as a gift from her. There are suppositions that his name Talos in the old Cretan language meant the "Sun" and that Zeus was known in Crete by the similar name of Zeus Tallaios. -
Intelligence Without Representation: a Historical Perspective
systems Commentary Intelligence without Representation: A Historical Perspective Anna Jordanous School of Computing, University of Kent, Chatham Maritime, Kent ME4 4AG, UK; [email protected] Received: 30 June 2020; Accepted: 10 September 2020; Published: 15 September 2020 Abstract: This paper reflects on a seminal work in the history of AI and representation: Rodney Brooks’ 1991 paper Intelligence without representation. Brooks advocated the removal of explicit representations and engineered environments from the domain of his robotic intelligence experimentation, in favour of an evolutionary-inspired approach using layers of reactive behaviour that operated independently of each other. Brooks criticised the current progress in AI research and believed that removing complex representation from AI would help address problematic areas in modelling the mind. His belief was that we should develop artificial intelligence by being guided by the evolutionary development of our own intelligence and that his approach mirrored how our own intelligence functions. Thus, the field of behaviour-based robotics emerged. This paper offers a historical analysis of Brooks’ behaviour-based robotics approach and its impact on artificial intelligence and cognitive theory at the time, as well as on modern-day approaches to AI. Keywords: behaviour-based robotics; representation; adaptive behaviour; evolutionary robotics 1. Introduction In 1991, Rodney Brooks published the paper Intelligence without representation, a seminal work on behaviour-based robotics [1]. This paper influenced many aspects of research into artificial intelligence and cognitive theory. In Intelligence without representation, Brooks described his behaviour-based robotics approach to artificial intelligence. He highlighted a number of points that he considers fundamental in modelling intelligence. -
Robotics Irobot Corp. (IRBT)
Robotics This report is published for educational purposes only by students competing in the Boston Security Analysts Society (BSAS) Boston Investment iRobot Corp. (IRBT) Research Challenge. 12/13/2010 Ticker: IRBT Recommendation: Sell Price: $22.84 Price Target: $15.20-16.60 Market Profile Figure 1.1: iRobot historical stock price Shares O/S 25 mm 25 Current price $22.84 52 wk price range $14.45-$23.00 20 Beta 1.86 iRobot 3 mo ADTV 0.14 mm 15 Short interest 2.1 mm Market cap $581mm 10 Debt 0 S & P 500 (benchmarked Jan-09) P/10E 25.2x 5 EV/10 EBITDA 13.5x Instl holdings 57.8% 0 Jan-09 Apr-09 Jul-09 Oct-09 Jan-10 Apr-10 Jul-10 Oct-10 Insider holdings 12.5% Valuation Ranges iRobot is a SELL: The company’s high valuation reflects overly optimistic expectations for home and military robot sales. While we are bullish on robotics, iRobot’s 52 wk range growth story has run out of steam. • Consensus is overestimating future home robot sales: Rapid yoy growth in 2010 home robot Street targets sales is the result of one-time penetration of international markets, which has concealed declining domestic sales. Entry into new markets drove growth in home robot sales in Q4 2009 and Q1 2010, 20-25x P/2011E but international sales have fallen 4% since Q1 this year, and we believe the street is overestimating international growth in 2011 (30% vs. our estimate of 18%). Domestic sales were down 29% in 8-12x Terminal 2009 and are up only 2.5% ytd. -
Origins of the American Association for Artificial Intelligence
AI Magazine Volume 26 Number 4 (2006)(2005) (© AAAI) 25th Anniversary Issue The Origins of the American Association for Artificial Intelligence (AAAI) Raj Reddy ■ This article provides a historical background on how AAAI came into existence. It provides a ratio- nale for why we needed our own society. It pro- vides a list of the founding members of the com- munity that came together to establish AAAI. Starting a new society comes with a whole range of issues and problems: What will it be called? How will it be financed? Who will run the society? What kind of activities will it engage in? and so on. This article provides a brief description of the consider- ations that went into making the final choices. It also provides a description of the historic first AAAI conference and the people that made it happen. The Background and the Context hile the 1950s and 1960s were an ac- tive period for research in AI, there Wwere no organized mechanisms for the members of the community to get together and share ideas and accomplishments. By the early 1960s there were several active research groups in AI, including those at Carnegie Mel- lon University (CMU), the Massachusetts Insti- tute of Technology (MIT), Stanford University, Stanford Research Institute (later SRI Interna- tional), and a little later the University of Southern California Information Sciences Insti- tute (USC-ISI). My own involvement in AI began in 1963, when I joined Stanford as a graduate student working with John McCarthy. After completing my Ph.D. in 1966, I joined the faculty at Stan- ford as an assistant professor and stayed there until 1969 when I left to join Allen Newell and Herb Simon at Carnegie Mellon University Raj Reddy. -
Packaging Specifications and Design
ECE 477 Digital Systems Senior Design Project Rev 8/09 Homework 4: Packaging Specifications and Design Team Code Name: 2D-MPR Group No. 12 Team Member Completing This Homework: Tyler Neuenschwander E-mail Address of Team Member: tcneuens@ purdue.edu NOTE: This is the first in a series of four “design component” homework assignments, each of which is to be completed by one team member. The body of the report should be 3-5 pages, not including this cover page, references, attachments or appendices. Evaluation: SCORE DESCRIPTION Excellent – among the best papers submitted for this assignment. Very few 10 corrections needed for version submitted in Final Report. Very good – all requirements aptly met. Minor additions/corrections needed for 9 version submitted in Final Report. Good – all requirements considered and addressed. Several noteworthy 8 additions/corrections needed for version submitted in Final Report. Average – all requirements basically met, but some revisions in content should 7 be made for the version submitted in the Final Report. Marginal – all requirements met at a nominal level. Significant revisions in 6 content should be made for the version submitted in the Final Report. Below the passing threshold – major revisions required to meet report * requirements at a nominal level. Revise and resubmit. * Resubmissions are due within one week of the date of return, and will be awarded a score of “6” provided all report requirements have been met at a nominal level. Comments: Comments from the grader will be inserted here. ECE 477 Digital Systems Senior Design Project Rev 8/09 1.0 Introduction The 2D-MPR is an autonomous robot designed to collect data required to map a room. -
Irobot: ROBOTS for the HOME
Licensed to: iChapters User CASE 5 iROBOT: ROBOTS FOR THE HOME Robots have been around for a long time. Detroit has appeared on the cover of Popular Science. It was clear used robots for four decades to build cars, and manu- by then that his future lay in inventions. facturers of all kinds of goods use some form of robot- ics to achieve effi ciencies and productivity. But until The Opportunity iRobot brought its battery-powered vacuum cleaner to the market, no one had successfully used robots in In 1990, Brooks and Angle, who by then had be- the home as an appliance. The issue was not whether it come close working partners with their MIT col- was possible to use robots in the home, but could they league Helen Greiner, borrowed from their credit be produced at a price customers would pay. Until the cards and used bank debt to found iRobot in a tiny introduction of Roomba, iRobot’s intelligent vacuum apartment in Somerville, Massachusetts. The goal of cleaner, robots for the home cost tens of thousands of the company was to build robots that would affect dollars. At Roomba’s price point of $$199,199, it was now hhowow peppeopleople llivedived ttheirheir llives.ivese . AtAt tthathaat ttime, no one possiblee ffororor ttheheh aaveragevev rar gee cconsumeronsus meer too aaffordfford to hhaveava e a cocouldoulld coconceivenceie ve ooff a wawwayy tot bbringringn rrobotsoboto s into domes- robot cleanleaean the hohhouse.usu e.. TThathah t inn iitselftssele f is aann iniinterestingteerrests inng titicc lilifefe iinn aan aaffordableffforordad blle wwaway,y, aandndd iiRobotRoR bob t was still years story, bututt eevenveen mommorerer iinterestingnteresestitingg iiss ththehe eneentrepreneurialnttrepepreenen ururiiaal awawayayy ffromroom didiscoveringsscoovverrini g ththee oononee aapapplicationppliccatiio that would journey of Colin Angle and his company, iRobot. -
Irobot Create 2 Tethered Driving Using Serial Communication and Python Nick Saxton April 2, 2015
iRobot Create 2 Tethered Driving Using Serial Communication and Python Nick Saxton April 2, 2015 Executive Summary: This application note will detail the necessary steps to write a simple Python script to control an iRobot Create 2 through serial port communication. Following an introduction to the topic and the technology used, a detailed walkthrough will be provided showing the reader how to write a user controlled tethered driving script. This walkthrough will start with a blank file and show all of the required steps to reach the final script. Additionally, automated driving code will be discussed, including comments on how it is used in the Automated 3D Environment Modeling project sponsored by Dr. Daniel Morris of the Michigan State University 3D Vision Lab1. Keywords: iRobot Create Tethered Driving Serial Communication2 Python Programming 1 Introduction: This section will introduce the technology and concepts used in this application note. First, an overview of the iRobot Create 2 Programmable Robot will be provided. Then, the Python programming language will be examined, including a brief history of the language and some of its key features. Finally, serial port communication will be discussed. Following this introduction, the objective of this application note will be looked at. The iRobot Create 2 Programmable Robot is a fully programmable version of iRobot’s popular Roomba vacuum cleaning robot. It weighs under 8 lbs, measures a little over 13 inches in diameter and approximately 3.5 inches tall, and has a serial port on its top side, accessible after removing the top cover. An image of the Create 2 can be seen below in Figure 1. -
Distributed Behavior-Based Control Architecture for a Wall Climbing Robot
MALAYSIAN SCIENCE & TECHNOLOGY CONGRESS '98 MY01 01 650 Symposium C: Computer Science & Information Technology •' 'niwrsilt Sains Malaysia. Pulau Piaany., 10-11 tJmvmher IWi DISTRIBUTED BEHAVIOR-BASED CONTROL ARCHITECTURE FOR A WALL CLIMBING ROBOT Nadir Ould Khessal Shamsudin H. M. Amin Faculty of Electrical Engineering Faculty of Electrical Engineering University Technology Malaysia University Technology Malaysia PO. Box 791, Skudai 80990 PO. Box 791, Skudai 80990 Johor. Malaysia Johor, Malaysia Tel: (60)-07-5505138 Tel: (60)-07-5505003 Fax:(60)-07-5 566272 Fax :(60)-07-55 66272 [email protected] [email protected] ABSTRACT In the past two decades. Behavior-based AI (Artificial Intelligence) has emerged as a new approach in designing mobile robot control architecture. It stresses on the issues of reactivity, concurrency and real-time control. In this paper we propose a new approach in designing robust intelligent controllers for mobile robot platforms. The Behaviour-based paradigm implemented in a multiprocessing firmware architecture will further enhance parallelism present in the subsumption paradigm itself and increased real-timeness. The paper summarises research done to design a four-legged wall climbing robot. The emphasis will be on the control architecture of the robot based on the Behavior -based paradigm. The robot control architecture is made up of two layers, the locomotion layer and the gait controller layer. The two layers are implemented on a Vesra 68332 processor board running the Behaviour-based kernel. The software is developed using the "L," programming language , introduced by IS Robotics. The Behaviour-based paradigm is outlined and contrasted with the classical Knowledge-based approach. -
Ray Kurzweil Reader Pdf 6-20-03
Acknowledgements The essays in this collection were published on KurzweilAI.net during 2001-2003, and have benefited from the devoted efforts of the KurzweilAI.net editorial team. Our team includes Amara D. Angelica, editor; Nanda Barker-Hook, editorial projects manager; Sarah Black, associate editor; Emily Brown, editorial assistant; and Celia Black-Brooks, graphics design manager and vice president of business development. Also providing technical and administrative support to KurzweilAI.net are Ken Linde, systems manager; Matt Bridges, lead software developer; Aaron Kleiner, chief operating and financial officer; Zoux, sound engineer and music consultant; Toshi Hoo, video engineering and videography consultant; Denise Scutellaro, accounting manager; Joan Walsh, accounting supervisor; Maria Ellis, accounting assistant; and Don Gonson, strategic advisor. —Ray Kurzweil, Editor-in-Chief TABLE OF CONTENTS LIVING FOREVER 1 Is immortality coming in your lifetime? Medical Advances, genetic engineering, cell and tissue engineering, rational drug design and other advances offer tantalizing promises. This section will look at the possibilities. Human Body Version 2.0 3 In the coming decades, a radical upgrading of our body's physical and mental systems, already underway, will use nanobots to augment and ultimately replace our organs. We already know how to prevent most degenerative disease through nutrition and supplementation; this will be a bridge to the emerging biotechnology revolution, which in turn will be a bridge to the nanotechnology revolution. By 2030, reverse-engineering of the human brain will have been completed and nonbiological intelligence will merge with our biological brains. Human Cloning is the Least Interesting Application of Cloning Technology 14 Cloning is an extremely important technology—not for cloning humans but for life extension: therapeutic cloning of one's own organs, creating new tissues to replace defective tissues or organs, or replacing one's organs and tissues with their "young" telomere-extended replacements without surgery. -
Robotics Research Task
Engineering Design (Robotics + Game Development) Robotics Research Task Your task is to select, and research, a particular robot (or particular robots) that demonstrates a general topic relating to robotics (or a type of robot), then create a presentation (e.g. PowerPoint, Google Presentation) about your robot. For example: “da Vinci – the surgical robot” You can work on this project by yourself or with one other person. Note: If you don’t feel comfortable presenting to the class at this stage, no worries. Someone else (e.g. your teacher) can do it for you. Your topic can be from the list on the other side of this page or something else entirely, but your robot (and preferably your topic) must be different from everyone else’s. You MUST have the teacher approve your choice before going further with research. Your name(s): ___________________________ Your robot/topic: _____________________________ Teacher approval: ________________________ Date: ______________________ Presentation Structure At a minimum, your presentation must include the following slides… Slide 1 Title slide with the topic, your name(s), the name of this course – Computing (Robotics + Game Design), and date. 2 Definition of a robot (or the history of the word “robot”) 3 Picture, robot name, and creator (or designer or manufacturer) of the robot you chose 4-6 More information about the robot, e.g. • Why this robot was created? What was it designed to do? • How does the robot work? What are its limitations/constraints? • Description of movable parts/systems, type of power, controls, etc. • What does the future hold for this robot and/or field of robotics? This is the largest section. -
Integrating Irobot-Arduino-Kinect Systems: an Educational Voice and Keyboard Operated Wireless Mobile Robot
International Journal of Scientific Engineering and Technology ISSN : 2277-1581 Volume No. 6, Issue No. 6, PP : 188-192 1 June 2017 Integrating iRobot-Arduino-Kinect Systems: An Educational Voice and Keyboard Operated Wireless Mobile Robot S. I. A. P. Diddeniya1, K. A. S. V. Rathnayake1, H. N. Gunasinghe2, W. K. I. L. Wanniarachchi1* 1Department of Physics, Faculty of Applied Sciences, University of Sri Jayewardenepura, 10250 Sri Lanka 2Department of Mathematics and Computer Science, The Open University of Sri Lanka, 10250 Sri Lanka Corresponding Email: [email protected] Abstract: This paper presents use of iRobot Create different time frames. Siliveru Ramesh et al. proposed a brain- Programmable Robot for real time wireless controlling via computer interface system for a mind controlled robot. The speech and keyboard commands in a domestic environment. system uses Mindwave Headset which is provided by Neurosky Commercial hardware such as iRobot create 2 programmable Technologies and those signals will be transferred by using robot, Kinect V2, Arduino Uno and NRF24L01 radio Bluetooth and uses LabVIEW design software to analyze brain frequency module were used, based on open-source code in the waves [1]. implementation. At the receiver end iRobot programmable Muhammed Zahit et al. proposed a robot controlling system robot was used as the mobile robot. At the transmission end, a with voice commands that takes speech commands to the PC based system was used. The keyboard controlling system is computer by using a microphone and the features are extracted designed to control the directions of the moving robot. In the by using Mel Frequency Cepstral Coefficients algorithms.