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Artificial Intelligence: Soon to Be the World’S Greatest Intelligence, Or Just a Wild Dream? Edward R
Johnson & Wales University ScholarsArchive@JWU Academic Symposium of Undergraduate College of Arts & Sciences Scholarship 3-22-2010 Artificial Intelligence: Soon to be the world’s greatest intelligence, or just a wild dream? Edward R. Kollett Johnson & Wales University - Providence, [email protected] Follow this and additional works at: https://scholarsarchive.jwu.edu/ac_symposium Part of the Artificial Intelligence and Robotics Commons, Arts and Humanities Commons, Nanoscience and Nanotechnology Commons, and the Social and Behavioral Sciences Commons Repository Citation Kollett, Edward R., "Artificial Intelligence: Soon to be the world’s greatest intelligence, or just a wild dream?" (2010). Academic Symposium of Undergraduate Scholarship. 3. https://scholarsarchive.jwu.edu/ac_symposium/3 This Research Paper is brought to you for free and open access by the College of Arts & Sciences at ScholarsArchive@JWU. It has been accepted for inclusion in Academic Symposium of Undergraduate Scholarship by an authorized administrator of ScholarsArchive@JWU. For more information, please contact [email protected]. Artificial Intelligence: Soon to be the world’s greatest intelligence, or just a wild dream? Edward Kollett Johnson & Wales University Honors Program 2009 Edward Kollett, Page 2 Artificial Intelligence is a term, coined by John McCarthy in 1956, that “in its broadest sense would indicate the ability of an artifact to perform the same kinds of functions that characterize human thought processes” (“Artificial Intelligence”). Typically, it is used today to refer to a computer program that is trying to simulate the human brain, or at least parts of it. Attempts to recreate the human brain have been a goal of mankind for centuries, but only recently, as computers have become as powerful as they are now, does the goal of a fully automated robot with human intelligence and emotional capabilities seems to be within reach. -
Capability by Stacking: the Current Design Heuristic for Soft Robots
biomimetics Review Capability by Stacking: The Current Design Heuristic for Soft Robots Stephen T. Mahon 1 ID , Jamie O. Roberts 1,2, Mohammed E. Sayed 1, Derek Ho-Tak Chun 1,2 ID , Simona Aracri 1, Ross M. McKenzie 1,2, Markus P. Nemitz 1,3 and Adam A. Stokes 1,* 1 School of Engineering, The Institute for Integrated Micro and Nano Systems, The University of Edinburgh, The King’s Buildings, Edinburgh EH9 3LJ, UK; [email protected] (S.T.M.); [email protected] (J.O.R.); [email protected] (M.E.S.); [email protected] (D.H.-T.C.); [email protected] (S.A.); [email protected] (R.M.M.); [email protected] (M.P.N.) 2 Engineering and Physical Sciences Research Council (EPSRC) Centre for Doctoral Training (CDT) in Robotics and Autonomous Systems, School of Informatics, The University of Edinburgh, Edinburgh EH9 3LJ, UK 3 Department of Computer Science and Engineering, University of Michigan, 2260 Hayward St. BBB3737, Ann Arbor, MI 48109, USA * Correspondence: [email protected]; Tel.: +44-131-650-5611 Received: 1 June 2018; Accepted: 10 July 2018; Published: 13 July 2018 Abstract: Soft robots are a new class of systems being developed and studied by robotics scientists. These systems have a diverse range of applications including sub-sea manipulation and rehabilitative robotics. In their current state of development, the prevalent paradigm for the control architecture in these systems is a one-to-one mapping of controller outputs to actuators. -
Robonaut 2 Fact Sheet
National Aeronautics and Space Administration Robonaut 2 facts NASA Almost 200 people from 15 countries have visited the International Space Station, but the orbiting complex has only had human crew members – until now. Robonaut 2, the latest generation of the Robonaut astronaut helpers, launched to the space station aboard space shuttle Discovery on the STS-133 mission in February 2011. It is the fi rst humanoid robot in space, and although its primary job for now is demonstrating to engineers how dexterous robots behave in space, the hope is that, through upgrades and advancements, it could one day venture outside the station to help spacewalkers make repairs or additions to the station or perform scientifi c work. R2, as the robot is called, was unpacked in April and powered up for the first time in August. Though it is currently being tested inside the Destiny laboratory, over time both its territory and its applications could expand. Initial tasks identified for R2 include velocity air measurements and handrail cleaning, both of which are simple but necessary tasks that require a great deal of crew time. R2 also has a taskboard on which to practice flipping switches and pushing buttons. Over time, the robot should graduate to more complex tasks. There are no plans to return R2 to Earth. History Work on the first Robonaut began in 1997. The idea was to build a humanoid robot that could assist astronauts on tasks in which another pair of hands would be helpful or to venture forth to perform jobs either too dangerous for crew members to risk or too mundane for them to spend time on. -
Talk with a Robot
Talk With A Robot With its small, portable, travel size, kids and adults will love to bring it around to play with. Type a custom snippet or try one of the examples. Though, it was an improvement over the depressing white/black, its charm wore out pretty quickly. © 2014 Steve Worswick. “When the robot was active, people tended to respond and give feedback to whatever the robot was doing, saying ‘Wow!’, ‘Good job. Python 100. Typically, a chat bot communicates with a real person, but applications are being developed in which two chat bots can communicate with each other. We started with some of the key features. Human Robot Intelligent That Can Talk Dance Sing Watch Home Smart Humanoid Robot For Kids Education , Find Complete Details about Human Robot Intelligent That Can Talk Dance Sing Watch Home Smart Humanoid Robot For Kids Education,Human Robot Intelligent,Human Robots,Robots That Can Talk from Toy Robots Supplier or Manufacturer-Shenzhen Yuanhexuan Industrial Co. Another communication method I want to talk about is XMLRPC, which stands for XML-formatted Remote Procedure Call. The bots have hammers attached to micro servos that they use to hit targets on the other robot. Two human look-a-like robots invented by Japanese engineers. Unemployment. The site Cleverbot. Choose a material for your robot. Typically, a chat bot communicates with a real person, but applications are being developed in which two chat bots can communicate with each other. Slideshow ( 2 images ). Type a custom snippet or try one of the examples. In this week’s Tech Talk podcast: Brian Stelter discusses recent hacks on major Web sites and the author of a new book on robots discusses what is to come. -
Concevoir Et Animer Pour L'acceptation De Robots
Concevoir et animer pour l’acceptation de robots zoomorphiques Adrien Gomez To cite this version: Adrien Gomez. Concevoir et animer pour l’acceptation de robots zoomorphiques. Art et histoire de l’art. Université Toulouse le Mirail - Toulouse II, 2018. Français. NNT : 2018TOU20048. tel- 02466318 HAL Id: tel-02466318 https://tel.archives-ouvertes.fr/tel-02466318 Submitted on 4 Feb 2020 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Délivré par Université Toulouse – Jean Jaurès Adrien Gomez Le 30 Août 2018 Concevoir et Animer pour l’Acceptation de Robots Zoomorphiques École doctorale et discipline ou spécialité ED ALLPH@: Études audiovisuelles Unité de recherche LARA (Université Toulouse Jean Jaurès) – LIRMM (Université Montpellier) Directeur(s) de Thèse M. Gilles METHEL M. René Zapata Co-encadrant de Thèse M. Sébastien Druon Jury Chu-Yin Chen, Professeure, université Paris 8 Sylvie Lelandais, Professeure, Université Evry-Val d’Essonnes Gilles Methel, Professeur, Université Toulouse2-Jean Jaurès René Zapata, Professeur, LIRMM Montpellier Sébastien -
Functional Fibers and Fabrics for Soft Robotics, Wearables, and Human–
REVIEW www.advmat.de Functional Fibers and Fabrics for Soft Robotics, Wearables, and Human–Robot Interface Jiaqing Xiong, Jian Chen, and Pooi See Lee* excellent mechanical adaptability to enable Soft robotics inspired by the movement of living organisms, with excellent safe and friendly interactions with human. adaptability and accuracy for accomplishing tasks, are highly desirable for Fiber that has been known for thousands efficient operations and safe interactions with human. With the emerging of years for textile engineering, is a kind of wearable electronics, higher tactility and skin affinity are pursued for safe thin 1D material with large length–diam- eter ratio and softness. Fiber can be fur- and user-friendly human–robot interactions. Fabrics interlocked by fibers ther processed into 1D or 3D yarns and 2D perform traditional static functions such as warming, protection, and or 3D fabrics and can be subjected to well- fashion. Recently, dynamic fibers and fabrics are favorable to deliver active established textile manufacturing tech- stimulus responses such as sensing and actuating abilities for soft-robots niques, such as dyeing, twisting, sewing, [1] and wearables. First, the responsive mechanisms of fiber/fabric actuators and knitting, weaving, braiding, etc. As com- mercially available material, fabric has their performances under various external stimuli are reviewed. Fiber/yarn- been widely used for clothing, bedding, based artificial muscles for soft-robots manipulation and assistance in human or furniture. Such wide-adoption dem- motion are discussed, as well as smart clothes for improving human percep- onstrates fabrics/textiles to be important tion. Second, the geometric designs, fabrications, mechanisms, and functions and adaptable as daily useable material of fibers/fabrics for sensing and energy harvesting from the human body and due to their merits of protection, breatha- [2] environments are summarized. -
Robonaut 2 – Operations on the International Space Station
Robonaut 2 – Operations on the International Space Station Ron Diftler Robonaut Project Lead Software, Robotics and Simulation Division NASA/Johnson Space Center [email protected] 2/14/2013 Overview Robonaut Motivation GM Relationship Robonaut Evolution Robonaut 2 (R2) Capabilities Preparing for ISS Journey to Space On Board ISS Future Activities Spinoffs Robonaut Motivation Capable Tool for Crew • Before, during and after activities Share EVA Tools and Workspaces. • Human Like Design Increase IVA and EVA Efficiency • Worksite Setup/Tear Down • Robotic Assistant • Contingency Roles Surface Operations • Near Earth Objects • Moon/Mars Interplanetary Vehicles Astronaut Nancy Currie works with 2 Robonauts to build a truss structure during an Telescopes experiment. Robonaut Development History 1998 • Subsystem Development • Testing of hand mechanism ROBONAUT 1999 Fall 1998 • Single Arm Integration • Testing with teleoperator ROBONAUT 2000 Fall 1999 • Dual Arm Integration • Testing with dual arm control ROBONAUT 2001 Fall 2000 • Waist and Vision Integration • Testing under autonomous control 2002 ROBONAUT • R1A Testing of Autonomous Learning Fall 2001 • R1B Integration 2003 ROBONAUT • R1A Testing Multi Agent EVA Team Fall 2002 • R1B Segwanaut Integration 2004 ROBONAUT Fall 2003 • R1A Autonomous Manipulation • R1B 0g Airbearing Development 2005 ROBONAUT Fall 2004 • DTO Flight Audit • Begin Development of R1C ROBONAUT 2006 Fall 2006 • Centaur base • Coordinated field demonstration GM’s Motivation Why did GM originally come to us? • World -
Ph. D. Thesis Stable Locomotion of Humanoid Robots Based
Ph. D. Thesis Stable locomotion of humanoid robots based on mass concentrated model Author: Mario Ricardo Arbul´uSaavedra Director: Carlos Balaguer Bernaldo de Quiros, Ph. D. Department of System and Automation Engineering Legan´es, October 2008 i Ph. D. Thesis Stable locomotion of humanoid robots based on mass concentrated model Author: Mario Ricardo Arbul´uSaavedra Director: Carlos Balaguer Bernaldo de Quiros, Ph. D. Signature of the board: Signature President Vocal Vocal Vocal Secretary Rating: Legan´es, de de Contents 1 Introduction 1 1.1 HistoryofRobots........................... 2 1.1.1 Industrialrobotsstory. 2 1.1.2 Servicerobots......................... 4 1.1.3 Science fiction and robots currently . 10 1.2 Walkingrobots ............................ 10 1.2.1 Outline ............................ 10 1.2.2 Themes of legged robots . 13 1.2.3 Alternative mechanisms of locomotion: Wheeled robots, tracked robots, active cords . 15 1.3 Why study legged machines? . 20 1.4 What control mechanisms do humans and animals use? . 25 1.5 What are problems of biped control? . 27 1.6 Features and applications of humanoid robots with biped loco- motion................................. 29 1.7 Objectives............................... 30 1.8 Thesiscontents ............................ 33 2 Humanoid robots 35 2.1 Human evolution to biped locomotion, intelligence and bipedalism 36 2.2 Types of researches on humanoid robots . 37 2.3 Main humanoid robot research projects . 38 2.3.1 The Humanoid Robot at Waseda University . 38 2.3.2 Hondarobots......................... 47 2.3.3 TheHRPproject....................... 51 2.4 Other humanoids . 54 2.4.1 The Johnnie project . 54 2.4.2 The Robonaut project . 55 2.4.3 The COG project . -
Iterative Design of Advanced Mobile Robots
Journal of Computing and Information Technology 1 Iterative Design of Advanced Mobile Robots Fran¸coisMichaud1∗, Dominic L´etourneau1 Eric´ Beaudry2, Maxime Fr´echette1, Froduald Kabanza2, and Michel Lauria1 1Department of Electrical Engineering and Computer Engineering, Universit´ede Sherbrooke, Qu´ebec Canada 2Department of Computer Science, Universit´ede Sherbrooke, Qu´ebec Canada Integration of hardware, software and decisional com- 1. Introduction ponents is fundamental in the design of advanced mo- bile robotic systems capable of performing challenging The dream of having autonomous machines perform- tasks in unstructured and unpredictable environments. ing useful tasks in everyday environments, as un- We address such integration challenges following an it- structured and unpredictable as they can be, has erative design strategy, centered on a decisional archi- motivated for many decades now research in robotics tecture based on the notion of motivated selection of and artificial intelligence. However, intelligent and behavior-producing modules. This architecture evolved autonomous mobile robots is still in what can be over the years from the integration of obstacle avoid- ance, message reading and touch screen graphical inter- identified as being research phases, i.e., mostly basic faces, to localization and mapping, planning and schedul- research and concept formulation, and some prelimi- ing, sound source localization, tracking and separation, nary uses of the technology with attempts in clarify- speech recognition and generation on a custom-made in- ing underlying ideas and generalizing the approach teractive robot. Designed to be a scientific robot re- [Shaw 2002]. The challenge in making such a dream porter, the robot provides understandable and config- become a reality lies in the intrinsic complexities urable interaction, intention and information in a con- and interdependencies of the necessary components ference setting, reporting its experiences for on-line and to be integrated in a robot. -
The Meteron Supvis-Justin Telerobotic Experiment and the Solex Proving Ground
See discussions, stats, and author profiles for this publication at: http://www.researchgate.net/publication/277268674 SIMULATING AN EXTRATERRESTRIAL ENVIRONMENT FOR ROBOTIC SPACE EXPLORATION: THE METERON SUPVIS-JUSTIN TELEROBOTIC EXPERIMENT AND THE SOLEX PROVING GROUND CONFERENCE PAPER · MAY 2015 READS 16 8 AUTHORS, INCLUDING: Neal Y. Lii Daniel Leidner German Aerospace Center (DLR) German Aerospace Center (DLR) 20 PUBLICATIONS 43 CITATIONS 10 PUBLICATIONS 28 CITATIONS SEE PROFILE SEE PROFILE Benedikt Pleintinger German Aerospace Center (DLR) 9 PUBLICATIONS 11 CITATIONS SEE PROFILE Available from: Neal Y. Lii Retrieved on: 24 September 2015 SIMULATING AN EXTRATERRESTRIAL ENVIRONMENT FOR ROBOTIC SPACE EXPLORATION: THE METERON SUPVIS-JUSTIN TELEROBOTIC EXPERIMENT AND THE SOLEX PROVING GROUND Neal Y. Lii1, Daniel Leidner1, Andre´ Schiele2, Peter Birkenkampf1, Ralph Bayer1, Benedikt Pleintinger1, Andreas Meissner1, and Andreas Balzer1 1Institute of Robotics and Mechatronics, German Aerospace Center (DLR), 82234 Wessling, Germany, Email: [email protected], [email protected] 2Telerobotics and Haptics Laboratory, ESA, 2201 AZ Noordwijk, The Netherlands, Email: [email protected] ABSTRACT This paper presents the on-going development for the Supvis-Justin experiment lead by DLR, together with ESA, planned for 2016. It is part of the ESA initiated Me- teron telerobotics experiment suite aimed to study differ- ent forms of telerobotics solutions for space applications. Supvis-Justin studies the user interface design, and super- vised autonomy aspects of telerobotics, as well as tele- operated tasks for a humanoid robot by teleoperating a dexterous robot on earth (located at DLR) from the Inter- national Space Station (ISS) with the use of a tablet PC. Figure 1. -
The Grand Challenges of Science Robotics Exclusive Licensee Guang-Zhong Yang,1* Jim Bellingham,2 Pierre E
SCIENCE ROBOTICS | PERSPECTIVE ROBOTICS Copyright © 2018 The Authors, some rights reserved; The grand challenges of Science Robotics exclusive licensee Guang-Zhong Yang,1* Jim Bellingham,2 Pierre E. Dupont,3 Peer Fischer,4,5 Luciano Floridi,6,7,8,9,10 American Association 11 12,13 14 15 1 for the Advancement Robert Full, Neil Jacobstein, Vijay Kumar, Marcia McNutt, Robert Merrifield, of Science. No claim 16 17,18 7,8,9 19 Bradley J. Nelson, Brian Scassellati, Mariarosaria Taddeo, Russell Taylor, to original U.S. 20 21 22,23 Manuela Veloso, Zhong Lin Wang, Robert Wood Government Works One of the ambitions of Science Robotics is to deeply root robotics research in science while developing novel robotic platforms that will enable new scientific discoveries. Of our 10 grand challenges, the first 7 represent underpin- ning technologies that have a wider impact on all application areas of robotics. For the next two challenges, we have included social robotics and medical robotics as application-specific areas of development to highlight the substantial societal and health impacts that they will bring. Finally, the last challenge is related to responsible in- novation and how ethics and security should be carefully considered as we develop the technology further. Downloaded from INTRODUCTION great strides in realizing its mission of power- ing components into synthetic structures to Just over a year ago, we published the first issue ing the world’s robots, from space robot chal- create robots that perform like natural systems. of Science Robotics. Even within this relatively lenges to autonomous driving, industrial (iii) New power sources, battery technol- short period of time, remarkable progress has assembly, and surgery. -
On-Board Pneumatic Pressure Generation Methods for Soft Robotics Applications
Review On-Board Pneumatic Pressure Generation Methods for Soft Robotics Applications Momme Adami and Arthur Seibel * Workgroup on System Technologies and Engineering Design Methodology, Hamburg University of Technology, 21073 Hamburg, Germany; [email protected] * Correspondence: [email protected] Received: 14 November 2018; Accepted: 20 December 2018; Published: 23 December 2018 Abstract: The design and construction of a soft robot are challenging tasks on their own. When the robot is supposed to operate without a tether, it becomes even more demanding. While a tethered operation is sufficient for a stationary use, it is impractical for wearable robots or performing tasks that demand a high mobility. Choosing and implementing an on-board pneumatic pressure source are particularly complex tasks. There are several different pressure generation methods to choose from, each with very different properties and ways of implementation. This review paper is written with the intention of informing about all pressure generation methods available in the field of soft robotics and providing an overview of the abilities and properties of each method. Nine different methods are described regarding their working principle, pressure generation behavior, energetic considerations, safety aspects, and suitability for soft robotics applications. All presented methods are evaluated in the most important categories for soft robotics pressure sources and compared to each other qualitatively and quantitatively as far as possible. The aim of the results presented is to simplify the choice of a suitable pressure generation method when designing an on-board pressure source for a soft robot. Keywords: soft robotics; soft actuators; on-board pneumatic pressure generation 1.