Bio-Robotics, Neuro-Engineering: Why? Insect Orientation And
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Introduction to Robotics. Sensors and Actuators
Introduction to Computer Vision and Robotics Florian Teich and Tomas Kulvicius* Introduction to Robotics. Sensors and Actuators Large portion of slides are adopted from Florentin Wörgötter, John Hallam and Simon Reich *[email protected] Perception-Action loop Environment Object Eyes Action Perception Arm Brain Perception-Action loop (cont.) Environment Sense Object Cameras Action Perception Robot-arm Computer Act Plan Outline of the course • L1.CV1: Introduction to Computer Vision. Thresholding, Filtering & Connected Coomponents • L2.CV2: Bilateral Filtering, Morphological Operators & Edge Detection • L3.CV3: Corner Detection & Non-Local Filtering • L4.R1: Introduction to Robotics. Sensors and actuators • L5.R2: Movement generation methods • L6.R3: Path planning algorithms • L7.CV4: Line/Circle Detection, Template Matching & Feature Detection • L8.CV5: Segmentation • L9.CV6: Fate Detection, Pedestrian Tracking & Computer Vision in 3D • L10.R4: Robot kinematics and control • L11.R5: Learning algorithms in robotics I: Supervised and unsupervised learning • L12.R6: Learning algorithms in robotics II: Reinforcement learning and genetic algorithms Introduction to Robotics History of robotics • Karel Čapek was one of the most influential Czech writers of the 20th century and a Nobel Prize nominee (1936). • He introduced and made popular the frequently used international word robot, which first appeared in his play R.U.R. (Rossum's Universal Robots) in 1921. 1890-1938 • “Robot” comes from the Czech word “robota”, meaning “forced labor” • Karel named his brother Josef Čapek as the true inventor of the word robot. History of robotics (cont.) • The word "robotics" also comes from science fiction - it first appeared in the short story "Runaround" (1942) by American writer Isaac Asimov. -
On the Impact of Robotics in Behavioral and Cognitive Sciences: from Insect Navigation to Human Cognitive Development
IEEE Transactions on Autonomous Mental Development, Dec 2009 1 On the impact of robotics in behavioral and cognitive sciences: from insect navigation to human cognitive development Pierre-Yves Oudeyer1 Bekey, 2005; Dautenhahn, 2007; Floreano and Abstract— The interaction of robotics with behavioural Mattiussi, 2008; Arbib et al., 2008; Asada et al., 2009). and cognitive sciences has always been tight. As often On the contrary, while there has been many technical described in the literature, the living has inspired the specific articles in the past presenting experiments that construction of many robots. Yet, in this article, we focus changed our understanding of given behavioural or on the reverse phenomenon: building robots can impact importantly the way we conceptualize behaviour and cognitive phenomenon, few synthetic, concise and cognition in animals and humans. I present a series of interdisciplinary overviews exist that specifically focus paradigmatic examples spanning from the modelling of on the potential impact of robotics in behavioural and insect navigation, the experimentation of the role of cognitive sciences, and its conceptualization. morphology to control locomotion, the development of foundational representations of the body and of the (Cordeschi, 2002) presents a thorough technical and self/other distinction, the self-organization of language in comprehensive review targeted at specialists and robot societies, and the use of robots as therapeutic tools historians. (Clark, 1997; Dennet, 1998; Boden, 2006) for children with developmental disorders. Through these emphasize, among other topics, philosophical issues of examples, I review the way robots can be used as operational models confronting specific theories to reality, the use of robots as tools for cognitive sciences. -
Cyborg Insect Drones: Research, Risks, and Governance
CYBORG INSECT DRONES: RESEARCH, RISKS, AND GOVERNANCE By: Heraclio Pimentel Jr. 12/01/2017 TABLE OF CONTENTS INTRODUCTION ............................................................................................................................................................................... 1 I. BACKGROUND: THE RESEARCH ................................................................................................................................................ 2 A. Emergence of HI-MEMS .................................................................................................................................................. 2 B. Technical Background .................................................................................................................................................... 3 C. The State of the Technology ......................................................................................................................................... 4 D. Intended Applications of HI-MEMS ............................................................................................................................ 6 II. RISKS: DUAL-USE APPLICATIONS OF HI-MEMS ................................................................................................................ 8 A. HI-MEMS Pose a Risk to National Security ............................................................................................................. 9 B. HI-MEMS Pose a Threat to Personal Privacy ..................................................................................................... -
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. -
New AI and Robotics F. Bonsignorio Heron Robots Institute of Biorobotics
New AI and Robotics ! ! F. Bonsignorio ! ! ! Heron Robots ! Institute of Biorobotics - SSSA, Pisa ! New AI and Robotics Introduction To take robots out of the factories in everyday life is not a free lunch. Have we the science or even the concept framework to deal with open ended unstructured environments? New AI and Robotics Introduction ! How the new paradigms in AI, from swarm intelligence to morphological computation and complex adaptive systems theory applications, (could) help robotics? Is robotics the science of embodied cognition? Is there a need to extend computation theory to manage the interaction with the physical world? Does robotics needs a 'paradigm change' from top- down symbolic processing to emerging self-organized cognitive behaviors of complez adaptive dynamical systems? New AI and Robotics Introduction Which relations are there between new AI, the US NSF idea of CyberPhysical Systems Science, and the concepts of embodied and situated cognition popular in European cognitive sciences community and a significant part of the robotics community? What does it mean in this context to be 'biomimetic'? New AI and Robotics Caveat :-) ROUTES TO CALIFORNIA AND OREGON 'EMIGRANTS or others desiring to make the overland journey to the Pacific should bear in mind that there are several different routes which may be traveled with wagons, each having its advocates in persons directly or indirectly interested in attracting the tide of emigration and travel over them. Information concerning these routes coming from strangers living or owning property near them, from agents of steam-boats or railways, or from other persons connected with transportation companies, should be received with great caution, and never without corroborating evidence from disinterested sources' From 'The Prairie Traveler', R. -
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. -
Developing Biorobotics for Veterinary Research Into Cat Movements
Journal of Veterinary Behavior 10 (2015) 248e254 Contents lists available at ScienceDirect Journal of Veterinary Behavior journal homepage: www.journalvetbehavior.com In Brief: Practice and Procedure Developing biorobotics for veterinary research into cat movements Chiara Mariti a,*, Giovanni Gerardo Muscolo b, Jan Peters c,d,e, Domenec Puig f, Carmine Tommaso Recchiuto b, Claudio Sighieri a, Agusti Solanas f, Oskar von Stryk c a Dipartimento di Scienze Veterinarie, Università di Pisa, Pisa, Italy b CVD & E-I Laboratories, Humanot s.r.l., Prato, Italy c Department of Computer Science, Technische Universität Darmstadt, Darmstadt, Germany d Department of Empirical Inference, Max Planck Institute for Intelligent Systems, Tübingen, Germany e Department of Autonomous Motion, Max Planck Institute for Intelligent Systems, Tübingen, Germany f Department of Computer Engineering and Mathematics, Universitat Rovira i Virgili, Tarragona, Spain article info abstract Article history: Collaboration between veterinarians and other professionals such as engineers and computer scientists Received 8 April 2014 will become important in biorobotics for both scientific achievements and the protection of animal Received in revised form welfare. Particularly, cats have not yet become a significant source of inspiration for new technologies in 29 September 2014 robotics. This article suggests a novel approach for the investigation of particular aspects of cat Accepted 31 December 2014 morphology, neurophysiology, and behavior aimed at bridging this gap by focusing on the versatile, Available online 10 January 2015 powerful locomotion abilities of cats and implementing a robotic tool for the measurements of biological parameters of animals and building cat-inspired robotic prototypes. The presented framework suggests Keywords: 3Rs the basis for the development of novel hypotheses and models describing biomechanics, locomotion, biorobotics balancing system, visual perception, as well as learning and adaption of cat motor skills and behavior. -
About the Contributors
553 About the Contributors Jordi Vallverdú is an associate professor for philosophy of science & computing at Universitat Autònoma de Barcelona. He holds a PhD. in philosophy of science (UAB) and a master in history of sciences (physics dept. UAB). After a short research stay as fellowship researcher at Glaxco-Wellcome Institute for the History of Medicine-London (1997) and research assistant of Dr. Jasanoff at J.F.K. School of Government – Harvard University (2000), he worked in computing epistemology issues, bioethics (because of the emotional aspects of cognition; he is listed as EU Biosociety Research Expert) and, espe- cially, on synthetic emotions. He co-leads a research group on this last topic, SETE (Synthetic Emotions in Technological Environments), with which has published several book chapters about computational models of synthetic emotions and their implementation into social robotic systems. “ David Casacuberta is a philosophy of science professor in the Universidad Autònoma de Barcelona (Spain). He has a PhD in philosophy and a master degree in cognitive sciences and language. His cur- rent line of research is the cognitive and social impact of new media, and specially, how the inclusion of artificial intelligence and artificial emotions can produce innovative, more interactive and radically different new types of media. * * * Tom Adi was an assistant professor for computer science in the 1980’s. He taught at universities in Jordan and Saudi Arabia. He received a PhD in industrial computer science in 1978 from Johannes Gutenberg University in Mainz, Germany. While designing a machine translation software in 1985, he discovered a theory of semantics (published in Semiotics and Intelligent Systems Development, 2007). -
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. -
JSP Fall 2012
Journal of Space Philosophy 1, no. 1 (Fall 2012) Dedicated to the belief that Space holds solutions for the betterment of humankind. And to the memory of Astronaut Neil Armstrong, Humankind’s first Lunar visitor. 2 Journal of Space Philosophy 1, no. 1 (Fall 2012) Preface Philosophy – the search for knowledge, truth, understanding, and meaning – has occupied thought since Plato’s Thirty-Six Dialogues (424-348 BC). Every person who has gazed at the heavens has wondered what it means for themselves and for humankind. Philosophy is the oldest research subject. Every science has defined its philosophical foundations. Humans have only philosophized while personally experiencing Space since the middle of the 20th Century. Kepler Space Institute takes pride in creating its online periodical Journal of Space Philosophy. A qualified Board of Editors meets the criteria for a professional peer reviewed journal. Article submissions, to [email protected], will be accepted for publication consideration from anyone on Earth or in Space. Readers will note that Kepler Space Institute creates for the first issue of the Journal its own prescription for Space Philosophy (Article #8). Evaluation and/or expansion of that philosophy is invited. With the Journal of Space Philosophy Kepler Space Institute has created a professional online Blog-interactive journal for a major academic and science discipline. Over time, this Journal will be an increasingly valuable research source for educators, students, NASA Centers, libraries, Space organizations, and Space enthusiasts. Views contained in articles will be those of the authors; not necessarily reflecting policy of Kepler Space Institute. Reproduction and downloading of Journal content for educational purposes is permitted, but authors will hold copyrights of their material and professional accreditation is required. -
A Stroll Through the Worlds of Robots and Animals: Applying Jakob Von Uexkuè Ll's Theory of Meaning to Adaptive Robots and Arti®Cial Life
A stroll through the worlds of robots and animals: Applying Jakob von UexkuÈ ll's theory of meaning to adaptive robots and arti®cial life TOM ZIEMKE and NOEL E. SHARKEY Introduction Much research in cognitive science, and in particular arti®cial intelligence (AI) and arti®cial life (ALife), has since the mid-1980s been devoted to the study of so-called autonomous agents. These are typically robotic systems situated in some environment and interacting with it using sensors and motors. Such systems are often self-organizing in the sense that they arti®cially learn, develop, and evolve in interaction with their environ- ments, typically using computational learning techniques, such as arti®cial neural networks or evolutionary algorithms. Due to the biological inspira- tion and motivation underlying much of this research (cf. Sharkey and Ziemke 1998), autonomous agents are often referred to as `arti®cial organisms', `arti®cial life', `animats' (short for `arti®cial animals') (Wilson 1985), `creatures' (Brooks 1990), or `biorobots' (Ziemke and Sharkey 1998). These terms do not necessarily all mean exactly the same; some of them refer to physical robots only, whereas others include simple soft- ware simulations. But the terms all express the view that the mechanisms referred to are substantially dierent from conventional artifacts and that to some degree they are `life-like' in that they share some of the properties of living organisms. Throughout this article this class of systems will be referred to as `arti®cial organisms' or `autonomous agents/robots' interchangeably. The key issue addressed in this article concerns the semiotic status and relevance of such arti®cial organisms.