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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. -
Task-Space Control Interface for Softbank Humanoid Robots and Its
Task-Space Control Interface for SoftBank Humanoid Robots and its Human-Robot Interaction Applications Anastasia Bolotnikova, Pierre Gergondet, Arnaud Tanguy, Sébastien Courtois, Abderrahmane Kheddar To cite this version: Anastasia Bolotnikova, Pierre Gergondet, Arnaud Tanguy, Sébastien Courtois, Abderrahmane Kheddar. Task-Space Control Interface for SoftBank Humanoid Robots and its Human-Robot Interaction Applications. IEEE/SICE 13th International Symposium on System Integration (SII 2021), Jan 2021, Online conference (originally: Iwaki, Fukushima), Japan. pp.560-565, 10.1109/IEEECONF49454.2021.9382685. hal-02919367v3 HAL Id: hal-02919367 https://hal.archives-ouvertes.fr/hal-02919367v3 Submitted on 8 Oct 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. Task-Space Control Interface for SoftBank Humanoid Robots and its Human-Robot Interaction Applications Anastasia Bolotnikova1;2, Pierre Gergondet4, Arnaud Tanguy3,Sebastien´ Courtois1, Abderrahmane Kheddar3;2;4 Abstract— We present an open-source software interface, Real robot called mc naoqi, that allows to perform whole-body task-space Quadratic Programming based control, implemented in mc rtc Fixed frame rate low-level actuator commands Robot sensors readings from framework, on the SoftBank Robotics Europe humanoid robots. Other robot device commands low-level memory fast access We describe the control interface, associated robot description mc_naoqi_dcm packages, robot modules and sample whole-body controllers. -
The Sphingidae (Lepidoptera) of the Philippines
©Entomologischer Verein Apollo e.V. Frankfurt am Main; download unter www.zobodat.at Nachr. entomol. Ver. Apollo, Suppl. 17: 17-132 (1998) 17 The Sphingidae (Lepidoptera) of the Philippines Willem H o g e n e s and Colin G. T r e a d a w a y Willem Hogenes, Zoologisch Museum Amsterdam, Afd. Entomologie, Plantage Middenlaan 64, NL-1018 DH Amsterdam, The Netherlands Colin G. T readaway, Entomologie II, Forschungsinstitut Senckenberg, Senckenberganlage 25, D-60325 Frankfurt am Main, Germany Abstract: This publication covers all Sphingidae known from the Philippines at this time in the form of an annotated checklist. (A concise checklist of the species can be found in Table 4, page 120.) Distribution maps are included as well as 18 colour plates covering all but one species. Where no specimens of a particular spe cies from the Philippines were available to us, illustrations are given of specimens from outside the Philippines. In total we have listed 117 species (with 5 additional subspecies where more than one subspecies of a species exists in the Philippines). Four tables are provided: 1) a breakdown of the number of species and endemic species/subspecies for each subfamily, tribe and genus of Philippine Sphingidae; 2) an evaluation of the number of species as well as endemic species/subspecies per island for the nine largest islands of the Philippines plus one small island group for comparison; 3) an evaluation of the Sphingidae endemicity for each of Vane-Wright’s (1990) faunal regions. From these tables it can be readily deduced that the highest species counts can be encountered on the islands of Palawan (73 species), Luzon (72), Mindanao, Leyte and Negros (62 each). -
AUTONOMOUS NAVIGATION with NAO David Lavy
AUTONOMOUS NAVIGATION WITH NAO David Lavy and Travis Marshall Boston University Department of Electrical and Computer Engineering 8 Saint Mary's Street Boston, MA 02215 www.bu.edu/ece December 9, 2015 Technical Report No. ECE-2015-06 Summary We introduce a navigation system for the humanoid robot NAO that seeks to find a ball, navigate to it, and kick it. The proposed method uses data acquired using the 2 cameras mounted on the robot to estimate the position of the ball with respect to the robot and then to navigate towards it. Our method is also capable of searching for the ball if is not within the robots immediate range of view or if at some point, NAO loses track of it. Variations of this method are currently used by different universities around the world in the international robotic soccer competition called Robocup. This project was completed within EC720 graduate course entitled \Digital Video Processing" at Boston University in the fall of 2015. i Contents 1 Introduction 1 2 Literature Review 1 3 Problem Solution 2 3.1 Find position of the ball . .3 3.2 Positioning the robot facing the ball . 10 3.3 Walking to the ball . 11 3.4 Kicking the ball . 12 4 Implementation 12 4.1 Image Acquisition . 13 4.2 Finding Contours and Circles . 13 4.3 Navigation and kicking for NAO . 13 5 Experimental Results 14 5.1 Ball identification results by method . 14 5.2 Confusion matrices . 14 5.3 Centering NAO to face the ball . 15 6 Conclusion and Future Work 16 7 Appendix 17 7.1 NAO features . -
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. -
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 -
Evaluating the Nao Robot in the Role of Personal Assistant: the Effect of Gender in Robot Performance Evaluation †
Proceedings Evaluating the Nao Robot in the Role of Personal Assistant: The Effect of Gender in Robot Performance Evaluation † Adrian Vega *, Kryscia Ramírez-Benavides, Luis A. Guerrero and Gustavo López Centro de Investigaciones en Tecnologías de la Información y Comunicación, Universidad de Costa Rica, 2060 San José, Costa Rica; [email protected] (K.R.-B.); [email protected] (L.A.G.); [email protected] (G.L.) * Correspondence: [email protected] † Presented at the 13th International Conference on Ubiquitous Computing and Ambient Intelligence UCAmI 2019, Toledo, Spain, 2–5 December 2019. Published: 20 November 2019 Abstract: By using techniques such as the Wizard of Oz (WoZ) and video capture, this paper evaluated the performance of the Nao Robot in the role of a personal assistant, which was valuated alongside the impact of the assigned gender (male/female) in the perceived performance of the robot assistant. Within a sample size of 39 computer sciences students, this study assessed criteria such as: perceived enjoyment, intention to use, perceived sociability, trust, intelligence, animacy, anthropomorphism, and sympathy, utilizing testing tools such as Unified Theory of Acceptance and Use of Technology (UTAUT) and Godspeed Questionnaire (GSQ). These methods identified a significant effect of the gender assigned to the robot in variables such as intelligence and sympathy. Keywords: human–robot interaction; HRI; HCI; UTAUT; GSQ; WoZ; gender 1. Introduction Starting as manufacturing machines, robots have opened to a wider application of areas such as education [1–3], personal assistance [4], health [5,6], and many others. Multiple research studies have described different elements to consider in the design of interactions with socially intelligent robots [6–9]. -
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 . -
Examining the Use of Robots As Teacher Assistants in UAE
Volume 20, 2021 EXAMINING THE USE OF ROBOTS AS TEACHER ASSISTANTS IN UAE CLASSROOMS: TEACHER AND STUDENT PERSPECTIVES Mariam Alhashmi* College of Education, Zayed University, [email protected] Abu Dhabi, UAE Omar Mubin Senior Lecturer in Human Computer [email protected] Interaction, Sydney, Australia Rama Baroud Part-Time Research Assistant [email protected] * Corresponding author ABSTRACT Aim/Purpose This study sought to understand the views of both teachers and students on the usage of humanoid robots as teaching assistants in a specifically Arab context. Background Social robots have in recent times penetrated the educational space. Although prevalent in Asia and some Western regions, the uptake, perception and ac- ceptance of educational robots in the Arab or Emirati region is not known. Methodology A total of 20 children and 5 teachers were randomly selected to comprise the sample for this study, which was a qualitative exploration executed using fo- cus groups after an NAO robot (pronounced now) was deployed in their school for a day of revision sessions. Contribution Where other papers on this topic have largely been based in other countries, this paper, to our knowledge, is the first to examine the potential for the inte- gration of educational robots in the Arab context. Findings The students were generally appreciative of the incorporation of humanoid robots as co-teachers, whereas the teachers were more circumspect, express- ing some concerns and noting a desire to better streamline the process of bringing robots to the classroom. Recommendations We found that the malleability of the robot’s voice played a pivotal role in the for Practitioners acceptability of the robot, and that generally students did well in smaller Accepting Editor Minh Q. -
Advance Your Students Into the Future Secondary Education
ADVANCE YOUR STUDENTS INTO THE FUTURE SECONDARY EDUCATION www.active-robots.com/aldebaran STEP INTO THE FUTURE CLASSROOM Robotics is the fastest growing industry and most advanced technology used in education and research. The NAO humanoid robot is the ideal platform for MOTIVATE STUDENTS teaching or researching in Science and Technology. — IMPROVE LEARNING By using our NAO robotics platform, instructors and researchers EFFECTIVENESS stay current with major technical and commercial breakthroughs in — TEACH A JOB-CREATING FIELD programming and applied research. WHY STUDY A HUMANOID ROBOT? MAJOR INNOVATION MULTIDISCIPLINARY PLATFORM ROBOT & JOB-CREATING FIELD FOR TEACHING & RESEARCH FASCINATION — — — After Computer and Internet, Robotics is the new Computer sciences, mechanics, electronics, Humanoid robots have always fascinated people technological revolution. With ageing population and control are already at the core of the NAO especially students with new applications and and labour shortage, humanoid robots will be platform. Our curriculum used in conjunction incredible inventions. Now technology has made one of the solutions for people assistance thanks with NAO allows students to develop a structured a huge leap forward. Stemming from 6 years to their humanoid shape adapted to a world approach to finding solutions and adapting a wide of research, NAO is one of the most advanced made for humans. Educate students today using range of cross-sectional educational content. One humanoid robots ever created. He is fully the NAO platform for opportunities in robotics, example is for the instructor to assign students programmable, open and autonomous. engineering, computer science and technology. In to program NAO to grasp an object and lift it. -
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.