Development of an Onboard Robotic Platform for Embedded Programming Education
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A Retrospective of the AAAI Robot Competitions
AI Magazine Volume 18 Number 1 (1997) (© AAAI) Articles A Retrospective of the AAAI Robot Competitions Pete Bonasso and Thomas Dean ■ This article is the content of an invited talk given this development. We found it helpful to by the authors at the Thirteenth National Confer- draw comparisons with developments in avia- ence on Artificial Intelligence (AAAI-96). The tion. The comparisons allow us to make use- piece begins with a short history of the competi- ful parallels with regard to aspirations, moti- tion, then discusses the technical challenges and vations, successes, and failures. the political and cultural issues associated with bringing it off every year. We also cover the sci- Dreams ence and engineering involved with the robot tasks and the educational and commercial aspects Flying has always seemed like a particularly of the competition. We finish with a discussion elegant way of getting from one place to of the community formed by the organizers, par- another. The dream for would-be aviators is ticipants, and the conference attendees. The orig- to soar like a bird; for many researchers in AI, inal talk made liberal use of video clips and slide the dream is to emulate a human. There are photographs; so, we have expanded the text and many variations on these dreams, and some added photographs to make up for the lack of resulted in several fanciful manifestations. In such media. the case of aviation, some believed that it should be possible for humans to fly by sim- here have been five years of robot com- ply strapping on wings. -
Wolfbot: a Distributed Mobile Sensing Platform for Research and Education
Proceedings of 2014 Zone 1 Conference of the American Society for Engineering Education (ASEE Zone 1) WolfBot: A Distributed Mobile Sensing Platform for Research and Education Joseph Betthauser, Daniel Benavides, Jeff Schornick, Neal O’Hara, Jimit Patel, Jeremy Cole, Edgar Lobaton Abstract— Mobile sensor networks are often composed of agents with weak processing capabilities and some means of mobility. However, recent developments in embedded systems have enabled more powerful and portable processing units capable of analyzing complex data streams in real time. Systems with such capabilities are able to perform tasks such as 3D visual localization and tracking of targets. They are also well-suited for environmental monitoring using a combination of cameras, microphones, and sensors for temperature, air-quality, and pressure. Still there are few compact platforms that combine state of the art hardware with accessible software, an open source design, and an affordable price. In this paper, we present an in- depth comparison of several mobile distributed sensor network platforms, and we introduce the WolfBot platform which offers a balance between capabilities, accessibility, cost and an open- design. Experiments analyzing its computer-vision capabilities, power consumption, and system integration are provided. Index Terms— Distributed sensing platform, Swarm robotics, Open design platform. I. INTRODUCTION ireless sensor networks have been used in a variety of Wapplications including surveillance for security purposes [30], monitoring of wildlife [36], [25], [23], Fig 1.WolfBot mobile sensing platform and some of its features. and measuring pollutant concentrations in an environment [37] [24]. Initially, compact platforms were deployed in order to As the number of mobile devices increases, tools for perform low-bandwidth sensing (e.g., detecting motion or distributed control and motion planning for swarm robotic recording temperature) and simple computations. -
Administrators Guide to First Robotics Program Expenses
ADMINISTRATORS GUIDE TO FIRST ROBOTICS PROGRAM EXPENSES FIRST has 4 programs under the umbrella all foCused on inspiring more students to pursue Careers in sCienCe, teChnology, engineering, and mathematiCs. All of the programs use a robot Competition exCept the youngest group which is for K-3 and it is more of a make-it/engineering expo. Junior FIRST LEGO league (JrFLL) for students kindergarten through third grade is a researCh/design challenge and introduction to the engineering process. Kids go on a research journey, create a poster and LEGO model Present at Expo to reviewers and then all teams reCeive reCognition. Expos can be organized at the local level and a regional expo will be held in March. Costs are: ($50 - $300 per season) • $25 JrFLL program fees (annual dues) • $25 Expo registration fees • Teams Can use any LEGO, must have one moving part with a motor. FIRST does offer a large kit of parts for about $150 Registration: Never closes Register Here: http://www.usfirst.org/robotiCsprograms/jr.fll/registration Competitions/tournaments: Expo is held in the spring (RGV Local) FIRST Lego league (FLL) has a new game theme eaCh year, which also includes a student chosen project in whiCh they researCh and purpose a solution that fits their Community’s needs. The Challenge is revealed in early September eaCh year and the Competition season is from November – MarCh. Team size is limited to 10 students. Costs are: ($1,500 - $3,000 first season, then $1,000 - $2,500 per season to sustain program) • $225 FLL program fees (annual dues) • $300 -$420 Lego Mindstorms robot kit (re-usable each year) • $65 game field set-up kit (new each year) • $70 - $90 tournament registration fees • $500 - $1,000 for team apparel, meals, presentation materials, promotional items for team spirit, etc. -
Fresh Innovators Put Ideas Into Action in Robot Contest March 2010 Texas Instruments 3
WHITE PAPER Jean Anne Booth Director of WW Stellaris Marketing Fresh Innovators Put and Customer-Facing Engineering Sue Cozart Applications Engineer Ideas into Action in Robot Contest Introduction The annual FIRST® Robotics Challenge (FRC) inspires young men and women to explore applications of motors to make good use of mechanical Texas Instruments puts tools motion in imaginative ways, all in the name of a real-life game. In doing so, in the hands of creators of these high school students learn to work on a team toward a common goal, tomorrow’s machine control stretch their knowledge and exercise their creativity, apply critical thinking and systems. develop a strategic game plan, and move from theoretical and book learning to practical application of concepts, all the while learning valuable lessons that will help them in the workplace and in life throughout their adulthood. But as much as anything, the FIRST® programs are designed to interest children in science and math by making it fun and engaging through the use of robots. Texas Instruments is one of the FRC suppliers, lending its motor control technology to the materials and tool kit from which each team of students builds its robot. The Stellaris® microcontroller-based motor control system and software used by the students is from the same Jaguar® developer's kit used by professionals to build sophisticated motion-control systems used in industry day in and day out. The easy-to-use kits let naive high school students, as well as industry professionals, control various types of motors in complex systems without having to comprehend the underlying algorithms in use or details of the microcontroller (MCU) program code that is implementing the algorithms. -
CYBORG Seagulls Are Ready to Recycle
CYBORG Seagulls are ready to recycle By Edward Stratton The Daily Astorian Published: February 24, 2015 10:45AM The robotbuilding season for 25 Seaside and Astoria students on the C.Y.B.O.R.G. Seagulls robotics team ended Feb. 17. SEASIDE — Seaside High School’s studentbuilt robot SARA is in the bag and ready to recycle. The robotbuilding season for 25 Seaside and Astoria students on the CYBORG Seagulls robotics team ended Feb. 17. Now the team prepares to send 15 students to compete against 31 other teams in the divisional qualifier of the FIRST Robotics Competition starting Thursday in Oregon City. From left, Pedro Martinez, Austin JOSHUA BESSEX — THE DAILY ASTORIAN Milliren and Connor Adams, test out their SARA (Stacking Agile Robot The competition and its teams are chockfull of Assembly) robot during the CYBORG Seagulls robotic team meeting. acronyms, including Seaside’s team name The robot is designed to pick up recycling cans and cargo boxes and move them. The team will use SARA to compete in Recycle Rush, a (Creative Young Brains Observing and robotics game based on recycling Thursday through Saturday. Redefining Greatness, or CYBORG) and the Buy this photo league they compete in (For Inspiration and 1 of 6 Recognition of Science and Technology, or FIRST). For more information on the CYBORG Seagulls and the Building SARA FIRST Robotics Competition, visit www.team3673.org The CYBORG Seagulls, now in their fifth year of the competition, had from Jan. 4 to Feb. 17 to build and program SARA in their workshop. -
Acknowledgements Acknowl
2161 Acknowledgements Acknowl. B.21 Actuators for Soft Robotics F.58 Robotics in Hazardous Applications by Alin Albu-Schäffer, Antonio Bicchi by James Trevelyan, William Hamel, The authors of this chapter have used liberally of Sung-Chul Kang work done by a group of collaborators involved James Trevelyan acknowledges Surya Singh for de- in the EU projects PHRIENDS, VIACTORS, and tailed suggestions on the original draft, and would also SAPHARI. We want to particularly thank Etienne Bur- like to thank the many unnamed mine clearance experts det, Federico Carpi, Manuel Catalano, Manolo Gara- who have provided guidance and comments over many bini, Giorgio Grioli, Sami Haddadin, Dominic Lacatos, years, as well as Prof. S. Hirose, Scanjack, Way In- Can zparpucu, Florian Petit, Joshua Schultz, Nikos dustry, Japan Atomic Energy Agency, and Total Marine Tsagarakis, Bram Vanderborght, and Sebastian Wolf for Systems for providing photographs. their substantial contributions to this chapter and the William R. Hamel would like to acknowledge work behind it. the US Department of Energy’s Robotics Crosscut- ting Program and all of his colleagues at the na- C.29 Inertial Sensing, GPS and Odometry tional laboratories and universities for many years by Gregory Dudek, Michael Jenkin of dealing with remote hazardous operations, and all We would like to thank Sarah Jenkin for her help with of his collaborators at the Field Robotics Center at the figures. Carnegie Mellon University, particularly James Os- born, who were pivotal in developing ideas for future D.36 Motion for Manipulation Tasks telerobots. by James Kuffner, Jing Xiao Sungchul Kang acknowledges Changhyun Cho, We acknowledge the contribution that the authors of the Woosub Lee, Dongsuk Ryu at KIST (Korean Institute first edition made to this chapter revision, particularly for Science and Technology), Korea for their provid- Sect. -
Using a Novel Bio-Inspired Robotic Model to Study Artificial Evolution
Using a Novel Bio-inspired Robotic Model to Study Artificial Evolution Yao Yao Promoter: Prof.Dr. Yves Van de Peer Ghent University (UGent)/Flanders Institute for Biotechnology (VIB) Faculty of Sciences UGent Department of Plant Biotechnology and Bioinformatics VIB Department of Plant Systems Biology Bioinformatics & Evolutionary Genomics This work was supported by European Commission within the Work Program “Future and Emergent Technologies Proactive” under the grant agreement no. 216342 (Symbrion) and Ghent University (Multidisciplinary Research Partnership ‘Bioinformatics: from nucleotides to networks’. Dissertation submitted in fulfillment of the requirement of the degree: Doctor in Sciences, Bioinformatics. Academic year: 2014-2015 1 Yao,Y (2015) “Using a Novel Bio-inspired Robotic Model to Study Artificial Evolution”. PhD Thesis, Ghent University, Ghent, Belgium The author and promoter give the authorization to consult and copy parts of this work for personal use only. Every other use is subject to the copyright laws. Permission to reproduce any material contained in this work should be obtained from the author. 2 Examination committee Prof. Dr. Wout Boerjan (chair) Faculty of Sciences, Department of Plant Biotechnology and Bioinformatics, Ghent University Prof. Dr. Yves Van de Peer (promoter) Faculty of Sciences, Department of Plant Biotechnology and Bioinformatics, Ghent University Prof. Dr. Kathleen Marchal* Faculty of Sciences, Department of Plant Biotechnology and Bioinformatics, Ghent University Prof. Dr. Tom Dhaene* Faculty -
Srinivas Akella
Srinivas Akella Department of Computer Science University of North Carolina at Charlotte Tel: (704) 687-8573 9201 University City Boulevard Email: [email protected] Charlotte, NC 28223 http://webpages.uncc.edu/sakella Citizenship: USA RESEARCH INTERESTS: Robotics and automation; Manipulation and motion planning; Multiple robot coordination; Digital microfluidics and biotechnology; Manufacturing and assembly automation; Bioinformatics and protein folding; Data analytics. EDUCATION: 1996 CARNEGIE MELLON UNIVERSITY, Pittsburgh, PA. Ph.D. in Robotics, School of Computer Science. Thesis: Robotic Manipulation for Parts Transfer and Orienting: Mechanics, Planning, and Shape Uncertainty. Advisor: Prof. Matthew T. Mason. 1993 M.S. in Robotics, School of Computer Science. 1989 INDIAN INSTITUTE OF TECHNOLOGY, MADRAS, India. B.Tech. in Mechanical Engineering. EXPERIENCE: 2009-present UNIVERSITY OF NORTH CAROLINA AT CHARLOTTE, Charlotte, NC. Professor, Department of Computer Science (2015-present). Associate Professor, Department of Computer Science (2009-2015). 2000-2008 RENSSELAER POLYTECHNIC INSTITUTE, Troy, NY. Assistant Professor, Department of Computer Science. Senior Research Scientist, Department of Computer Science, and Center for Automation Technologies & Systems. 1996-1999 UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN, Urbana, IL. Beckman Fellow, Beckman Institute for Advanced Science and Technology. 1989-1996 CARNEGIE MELLON UNIVERSITY, Pittsburgh, PA. Research Assistant, The Robotics Institute. Summer 1992 ELECTROTECHNICAL LABORATORY, MITI, Tsukuba, Japan. Summer Intern, Intelligent Systems Division. AWARDS: 2018 CCI Excellence in Graduate Teaching Award, College of Computing and Informatics, UNC Charlotte. 2007 Advisor, Best Student Paper Awardee, Robotics Science and Systems Conference. 2005 Rensselaer Faculty Early Research Career Honoree, RPI. 2001 NSF CAREER Award, National Science Foundation. 1999 Finalist, Best Paper Award, IEEE International Conference on Robotics and Automation. -
An Augmented Reality Tool for Analysing and Debugging Swarm Robotic Systems
CODE published: 24 July 2018 doi: 10.3389/frobt.2018.00087 ARDebug: An Augmented Reality Tool for Analysing and Debugging Swarm Robotic Systems Alan G. Millard 1,2*, Richard Redpath 1,2, Alistair M. Jewers 1,2, Charlotte Arndt 1,2, Russell Joyce 1,3, James A. Hilder 1,2, Liam J. McDaid 4 and David M. Halliday 2 1 York Robotics Laboratory, University of York, York, United Kingdom, 2 Department of Electronic Engineering, University of York, York, United Kingdom, 3 Department of Computer Science, University of York, York, United Kingdom, 4 School of Computing and Intelligent Systems, Ulster University, Derry, United Kingdom Despite growing interest in collective robotics over the past few years, analysing and debugging the behaviour of swarm robotic systems remains a challenge due to the lack Edited by: Carlo Pinciroli, of appropriate tools. We present a solution to this problem—ARDebug: an open-source, Worcester Polytechnic Institute, cross-platform, and modular tool that allows the user to visualise the internal state of a United States robot swarm using graphical augmented reality techniques. In this paper we describe the Reviewed by: Andreagiovanni Reina, key features of the software, the hardware required to support it, its implementation, and University of Sheffield, usage examples. ARDebug is specifically designed with adoption by other institutions in United Kingdom mind, and aims to provide an extensible tool that other researchers can easily integrate Lenka Pitonakova, University of Bristol, United Kingdom with their own experimental infrastructure. Jerome Guzzi, Dalle Molle Institute for Artificial Keywords: swarm robotics, augmented reality, debugging, open-source, cross-platform, code:c++ Intelligence Research, Switzerland *Correspondence: Alan G. -
World's Biggest Robot Event by Lem Fugitt
World's Biggest Robot Event by Lem Fugitt, www.robots-dreams.com oboGames 2011 was held at the San Mateo Event Center, midway between downtown San Francisco and San Jose, Rright in the heart of the high tech geek heaven called Silicon Valley. Over the three day run the event drew over 20,000 paid attendees and featured dose to 600 robots from 239 teams that had flo'Wn in from 17 different countries. There were 59 major com petition categories including robot soccer, hockey, sumo, micro mouse, kung-fu, Mech Warfare, art hots, and of course the combat robot battles that the event has become known for world-wide. Major contingents partiCipated from Mexico, Japan, Brazil, Korea, the UK, Canada, Indonesia, Colombia, and a host of other countries. As you might expect, the largest number of medals won (86) went to the USA since it was the host country and presented the least difficulty in terms of travel, expense, and time commit ment. Mexico came in second place with 16 medal wins. After sev eral years of minimal participation, Japan came back in force at RoboGames 2011 snagging 10 gold and 5 bronze medals putting them solidly in third place. WHAT MAKES RDBDGAMES DIFFERENT? RoboGames, like all great things, started from a simple, almost casual, haVing fun is always the primary objective for everyone at personal observation that has been nurtured with passion and unflag RoboGames, competitors and fans alike, a close second is to ging commitment by the event organizers, competitors, and fans over exchange ideas, inspiration, and learning. -
Multicomponent Robotic Systems and Hybrid Intelligent Systems, a Path to Autonomy
Multicomponent Robotic Systems and Hybrid Intelligent Systems, a Path to Autonomy R.J. Duro1, M. Graña2, J. de Lope3 1 Grupo Integrado de Ingeniería, Universidade da Coruña, Spain, 2 Grupo Inteligencia Computacional, Universidad del País Vasco, Spain, 3 Percepción Computacional y Robótica, Universidad Politécnica de Madrid, Spain. [email protected], [email protected], [email protected] Abstract. The area of cognitive or intelligent robotics is moving from the single robot control and behavior problem to that of controlling multiple robots operating together and even collaborating in dynamic and unstructured environments. This paper introduces the topic and provides a general overview of the current state of the field of Multicomponent Robotic Systems taking into consideration the following essential problem: how to coordinate multiple robotic elements in order to perform useful tasks. The review shows where Hybrid Intelligent Systems could provide key contributions to the advancement of the field. Keywords: Intelligent robotics, multi-robot systems, modular robotics. 1 Introduction The classical concept of general purpose industrial robot, both in the case of manipulators and mobile robots, makes sense when the task to be carried out takes place in static or controlled completely structured settings. However, when the environments are highly dynamic and unstructured and when the tasks to be performed are seldom carried out in the same exact way, it is necessary to make use of robotic systems that require additional properties depending on the task. Examples of these environments are shipyards, plants for constructing unique or very large structures, civil engineering sites, etc. In these environments, work is not generally carried out as in traditional automated plants, but rather, a series of individuals or groups of specialists perform the tasks over the structure itself in an ad hoc manner. -
Maja J Matarić
Curriculum Vitae Maja J Matarić Chan Soon-Shiong Distinguished Professor of Computer Science, Neuroscience, and Pediatrics University of Southern California, Los Angeles, CA [email protected] http://robotics.usc.edu/~maja Summary of contents: EDUCATION 1 PROFESSIONAL 1 TEACHING 3 RESEARCH SUPERVISION 4 INITIATIVES AS INTERIM VICE PRESIDENT OF RESEARCH 10 INITIATIVES AS VICE DEAN FOR RESEARCH 11 K-12 EDUCATIONAL OUTREACH 12 GRANTS, CONTRACTS, and GIFTS 14 HONORS AND AWARDS 23 SELECTED MEDIA COVERAGE 24 PUBLICATIONS 26 INVITED TALKS 68 SERVICE 86 TECHNOLOGY TRANSFER 93 PERSONAL 93 EDUCATION Ph.D., Computer Science and Artificial Intelligence, Massachusetts Institute of Technology, May 1994. Dissertation: Interaction and Intelligent Behavior. Advisor: Prof. Rodney A. Brooks. Minor in Management of Technological Innovation. S.M., Computer Science, Massachusetts Institute of Technology, Jan 1990. Thesis: A Model for Distributed Mobile Robot Environment Learning and Navigation. Advisor: Prof. Rodney A. Brooks. B.S., Computer Science, Honors and Distinction, University of Kansas, May 1987. Honors thesis: Advisor: An Intelligent Knowledge-Based System for Computer Science Curriculum Advising. Advisor: Prof. Frank Brown. Minor in Cognitive Neuroscience. PROFESSIONAL USC Distinguished Professor, Jan 2019-present. Lead, USC Viterbi K-12 STEM Center, July 2019-present. USC Interim Vice President of Research, Jan 2020-Jul 2021. Maja J Matarić CV July 2021 Co-Founder, Embodied, Inc., 2016-present. Chan Soon-Shiong Chaired Professor, Viterbi School of Engineering, University of Southern California. Oct 2012-present. Professor, Computer Science Department, Pediatrics Department, and Neuroscience Program, University of Southern California. Apr 2006-present. Founding Director, Robotics and Autonomous Systems Center (RASC, rasc.usc.edu), (originally Robotics and Embedded Systems (cres.usc.edu), USC.