The Blockchain: a New Framework for Robotic Swarm Systems Eduardo Castelló Ferrer
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
A Novel Concept for the Study of Heterogeneous Robotic Swarms
Swarmanoid: a novel concept for the study of heterogeneous robotic swarms M. Dorigo, D. Floreano, L. M. Gambardella, F. Mondada, S. Nolfi, T. Baaboura, M. Birattari, M. Bonani, M. Brambilla, A. Brutschy, D. Burnier, A. Campo, A. L. Christensen, A. Decugni`ere, G. Di Caro, F. Ducatelle, E. Ferrante, A. F¨orster, J. Martinez Gonzales, J. Guzzi, V. Longchamp, S. Magnenat, N. Mathews, M. Montes de Oca, R. O’Grady, C. Pinciroli, G. Pini, P. R´etornaz, J. Roberts, V. Sperati, T. Stirling, A. Stranieri, T. St¨utzle, V. Trianni, E. Tuci, A. E. Turgut, and F. Vaussard. IRIDIA – Technical Report Series Technical Report No. TR/IRIDIA/2011-014 July 2011 IRIDIA – Technical Report Series ISSN 1781-3794 Published by: IRIDIA, Institut de Recherches Interdisciplinaires et de D´eveloppements en Intelligence Artificielle Universite´ Libre de Bruxelles Av F. D. Roosevelt 50, CP 194/6 1050 Bruxelles, Belgium Technical report number TR/IRIDIA/2011-014 The information provided is the sole responsibility of the authors and does not necessarily reflect the opinion of the members of IRIDIA. The authors take full responsibility for any copyright breaches that may result from publication of this paper in the IRIDIA – Technical Report Series. IRIDIA is not responsible for any use that might be made of data appearing in this publication. IEEE ROBOTICS & AUTOMATION MAGAZINE, VOL. X, NO. X, MONTH 20XX 1 Swarmanoid: a novel concept for the study of heterogeneous robotic swarms Marco Dorigo, Dario Floreano, Luca Maria Gambardella, Francesco Mondada, Stefano Nolfi, Tarek Baaboura, -
1 Design of a Low-Cost, Highly Mobile Urban Search and Rescue Robot
Design of a Low-Cost, Highly Mobile Urban Search and Rescue Robot Bradley E. Bishop * Frederick L. Crabbe Bryan M. Hudock United States Naval Academy 105 Maryland Ave (Stop 14a) Annapolis, MD 21402 [email protected] Keywords: Rescue Robotics, Mobile Robotics, Locomotion, Physical Simulation, Genetic Algorithms Abstract— In this paper, we discuss the design of a novel robotic platform for Urban Search and Rescue (USAR). The system developed possesses unique mobility capabilities based on a new adjustable compliance mechanism and overall locomotive morphology. The main facets of this work involve the morphological concepts, initial design and construction of a prototype vehicle, and a physical simulation to be used for developing controllers for semi-autonomous (supervisory) operation. I. INTRODUCTION Recovering survivors from a collapsed building has proven to be one of the more daunting challenges that face rescue workers in today’s world. Survivors trapped in a rubble pile generally have 48 hours before they will succumb to dehydration and the elements [1]. Unfortunately, the environment of urban search and rescue (USAR) does not lend itself to speedy reconnaissance or retrieval. The terrain is extremely unstable and the spaces for exploration are often irregular in nature and very confined. Though these challenges often make human rescue efforts deep within the rubble pile prohibitive, a robot designed for urban search and rescue would be very well suited to the problem. Robots have already proven their worth in urban search and rescue, most notably in the aftermath of the September 11 th , 2001 disaster. The combined efforts of Professor Robin Murphy, 1 a computer scientist at the University of South Florida, and Lt. -
Make Robots Be Bats: Specializing Robotic Swarms to the Bat Algorithm
© <2019>. This manuscript version is made available under the CC- BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc- nd/4.0/ Accepted Manuscript Make robots Be Bats: Specializing robotic swarms to the Bat algorithm Patricia Suárez, Andrés Iglesias, Akemi Gálvez PII: S2210-6502(17)30633-8 DOI: 10.1016/j.swevo.2018.01.005 Reference: SWEVO 346 To appear in: Swarm and Evolutionary Computation BASE DATA Received Date: 24 July 2017 Revised Date: 20 November 2017 Accepted Date: 9 January 2018 Please cite this article as: P. Suárez, André. Iglesias, A. Gálvez, Make robots Be Bats: Specializing robotic swarms to the Bat algorithm, Swarm and Evolutionary Computation BASE DATA (2018), doi: 10.1016/j.swevo.2018.01.005. This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. ACCEPTED MANUSCRIPT Make Robots Be Bats: Specializing Robotic Swarms to the Bat Algorithm Patricia Su´arez1, Andr´esIglesias1;2;:, Akemi G´alvez1;2 1Department of Applied Mathematics and Computational Sciences E.T.S.I. Caminos, Canales y Puertos, University of Cantabria Avda. de los Castros, s/n, 39005, Santander, SPAIN 2Department of Information Science, Faculty of Sciences Toho University, 2-2-1 Miyama 274-8510, Funabashi, JAPAN :Corresponding author: [email protected] http://personales.unican.es/iglesias Abstract Bat algorithm is a powerful nature-inspired swarm intelligence method proposed by Prof. -
Nanomedicine and Medical Nanorobotics - Robert A
BIOTECHNOLOGY– Vol .XII – Nanomedicine and Medical nanorobotics - Robert A. Freitas Jr. NANOMEDICINE AND MEDICAL NANOROBOTICS Robert A. Freitas Jr. Institute for Molecular Manufacturing, Palo Alto, California, USA Keywords: Assembly, Nanomaterials, Nanomedicine, Nanorobot, Nanorobotics, Nanotechnology Contents 1. Nanotechnology and Nanomedicine 2. Medical Nanomaterials and Nanodevices 2.1. Nanopores 2.2. Artificial Binding Sites and Molecular Imprinting 2.3. Quantum Dots and Nanocrystals 2.4. Fullerenes and Nanotubes 2.5. Nanoshells and Magnetic Nanoprobes 2.6. Targeted Nanoparticles and Smart Drugs 2.7. Dendrimers and Dendrimer-Based Devices 2.8. Radio-Controlled Biomolecules 3. Microscale Biological Robots 4. Medical Nanorobotics 4.1. Early Thinking in Medical Nanorobotics 4.2. Nanorobot Parts and Components 4.3. Self-Assembly and Directed Parts Assembly 4.4. Positional Assembly and Molecular Manufacturing 4.5. Medical Nanorobot Designs and Scaling Studies Acknowledgments Bibliography Biographical Sketch Summary Nanomedicine is the process of diagnosing, treating, and preventing disease and traumatic injury, of relieving pain, and of preserving and improving human health, using molecular tools and molecular knowledge of the human body. UNESCO – EOLSS In the relatively near term, nanomedicine can address many important medical problems by using nanoscale-structured materials and simple nanodevices that can be manufactured SAMPLEtoday, including the interaction CHAPTERS of nanostructured materials with biological systems. In the mid-term, biotechnology will make possible even more remarkable advances in molecular medicine and biobotics, including microbiological biorobots or engineered organisms. In the longer term, perhaps 10-20 years from today, the earliest molecular machine systems and nanorobots may join the medical armamentarium, finally giving physicians the most potent tools imaginable to conquer human disease, ill-health, and aging. -
Swarm Robotics”
applied sciences Editorial Editorial: Special Issue “Swarm Robotics” Giandomenico Spezzano Institute for High Performance Computing and Networking (ICAR), National Research Council of Italy (CNR), Via Pietro Bucci, 8-9C, 87036 Rende (CS), Italy; [email protected] Received: 1 April 2019; Accepted: 2 April 2019; Published: 9 April 2019 Swarm robotics is the study of how to coordinate large groups of relatively simple robots through the use of local rules so that a desired collective behavior emerges from their interaction. The group behavior emerging in the swarms takes its inspiration from societies of insects that can perform tasks that are beyond the capabilities of the individuals. The swarm robotics inspired from nature is a combination of swarm intelligence and robotics [1], which shows a great potential in several aspects. The activities of social insects are often based on a self-organizing process that relies on the combination of the following four basic rules: Positive feedback, negative feedback, randomness, and multiple interactions [2,3]. Collectively working robot teams can solve a problem more efficiently than a single robot while also providing robustness and flexibility to the group. The swarm robotics model is a key component of a cooperative algorithm that controls the behaviors and interactions of all individuals. In the model, the robots in the swarm should have some basic functions, such as sensing, communicating, motioning, and satisfy the following properties: 1. Autonomy—individuals that create the swarm-robotic system are autonomous robots. They are independent and can interact with each other and the environment. 2. Large number—they are in large number so they can cooperate with each other. -
Multipurpose Tactical Robot
Engineering International, Volume 2, No 1 (2014) Asian Business Consortium | EI Page 20 Engineering International, Volume 2, No 1 (2014) Multipurpose Tactical Robot Md. Taher-Uz-Zaman1, Md. Sazzad Ahmed2, Shabbir Hossain3, Shakhawat Hossain4, & G. R. Ahmed Jamal5 1,2,3,4Department of Electrical & Electronic Engineering, University of Asia Pacific, Bangladesh 5Assistant Professor, Dept. of Electrical & Electronic Engineering, University of Asia Pacific, Bangladesh ABSTRACT This paper presents a general framework for planning a multipurpose robot which can be used in multiple fields (both civil and military). The framework shows the assembly of multiple sensors, mechanical arm, live video streaming and high range remote control and so on in a single robot. The planning problem is one of five fundamental challenges to the development of a real robotic system able to serve both purposes related to military and civil like live surveillance(both auto and manual), rescuing under natural disaster aftermath, firefighting, object picking, hazard like ignition, volatile gas detection, exploring underground mine or even terrestrial exploration. Each of the four other areas – hardware design, programming, controlling and artificial intelligence are also discussed. Key words: Robotics, Artificial intelligence, Arduino, Survelience, Mechanical arm, Multi sensoring INTRODUCTION There are so many robots developed based on line follower, obstacle avoider, robotic arm, wireless controlled robot and so on. Most of them are built on the basis of a specific single function. For example a mechanical arm only can pick an object inside its reach. But what will happen if the object is out of its reach? Besides implementing a simple AI (e.g. line following, obstacle or edge detection) is more or less easy but that does not serve any human need. -
Molecular Nanotechnology - Wikipedia, the Free Encyclopedia
Molecular nanotechnology - Wikipedia, the free encyclopedia http://en.wikipedia.org/wiki/Molecular_manufacturing Molecular nanotechnology From Wikipedia, the free encyclopedia (Redirected from Molecular manufacturing) Part of the article series on Molecular nanotechnology (MNT) is the concept of Nanotechnology topics Molecular Nanotechnology engineering functional mechanical systems at the History · Implications Applications · Organizations molecular scale.[1] An equivalent definition would be Molecular assembler Popular culture · List of topics "machines at the molecular scale designed and built Mechanosynthesis Subfields and related fields atom-by-atom". This is distinct from nanoscale Nanorobotics Nanomedicine materials. Based on Richard Feynman's vision of Molecular self-assembly Grey goo miniature factories using nanomachines to build Molecular electronics K. Eric Drexler complex products (including additional Scanning probe microscopy Engines of Creation Nanolithography nanomachines), this advanced form of See also: Nanotechnology Molecular nanotechnology [2] nanotechnology (or molecular manufacturing ) Nanomaterials would make use of positionally-controlled Nanomaterials · Fullerene mechanosynthesis guided by molecular machine systems. MNT would involve combining Carbon nanotubes physical principles demonstrated by chemistry, other nanotechnologies, and the molecular Nanotube membranes machinery Fullerene chemistry Applications · Popular culture Timeline · Carbon allotropes Nanoparticles · Quantum dots Colloidal gold · Colloidal -
A Rough Terrain Negotiable Teleoperated Mobile Rescue Robot with Passive Control Mechanism
3-Survivor: A Rough Terrain Negotiable Teleoperated Mobile Rescue Robot with Passive Control Mechanism Rafia Alif Bindu1,2, Asif Ahmed Neloy1,2, Sazid Alam1,2, Shahnewaz Siddique1 Abstract— This paper presents the design and integration of hazardous areas, the robot must have high mobility ability to 3-Survivor: a rough terrain negotiable teleoperated mobile move in rough terrain, clearing the path and also transmitting rescue and service robot. 3-Survivor is an improved version of live video of the affected area. Generally, three types of robot two previously studied surveillance robots named Sigma-3 and locomotion are found. The first is the walking robot [9], Alpha-N. In 3-Survivor, a modified double-tracked with second, the wheel-based robot [10] and the third is a track- caterpillar mechanism is incorporated in the body design. A based robot [6]. The wheel-based robot is not efficient for passive adjustment established in the body balance enables the moving in the rough terrain [11]. The walking robot can move front and rear body to operate in excellent synchronization. Instead of using an actuator, a reconfigurable dynamic method but it’s very slow and difficult to control [9]. In that sense, is constructed with a 6 DOF arm. This dynamic method is the double-track mechanism provides good mobility under configured with the planer, spatial mechanism, rotation matrix, rough terrain conditions with the added benefit of low power motion control of rotation using inverse kinematics and consumption. Considering all these conditions, the track- controlling power consumption of the manipulator using based robot is more efficient in rough terrain as well as in a angular momentum. -
Uses of Nanorobotics Technology
Volume II, Issue IV, APRIL 2013 IJLTEMAS ISSN 2278 - 2540 USES OF NANOROBOTICS TECHNOLOGY Dr. Gaurav Kumar Jain Deepshikha Group of Colleges [email protected] Mr. Sandeep Joshi Deepshikha Group of Colleges Mr. Ravi Ranjan Deepshikha Group of Colleges ABSTRACT Illnesses such as cancer, neurodegenerative diseases and cardiovascular diseases Nanorobotics is the technology of creating continue to ravage people around the world. machines or robots at or close to the microscopic scale of a nanometer (10−9 NANOROBOTICS THEORY:- meters). More specifically, nanorobotics refers to the still largely hypothetical Since nanorobots would be microscopic in nanotechnology engineering discipline of size, it would probably be necessary for very designing and building nanorobots, devices large numbers of them to work together to ranging in size from 0.1-10 micrometers and perform microscopic and macroscopic tasks. constructed of nanoscale or molecular These nanorobot swarms, both those which components. As no artificial non-biological are incapable of replication (as in utility fog) nanorobots have yet been created, they and those which are capable of remain a hypothetical concept. The names unconstrained replication in the natural nanobots, nanoids, nanites or nanomites also environment (as in grey goo and its less have been used to describe these common variants), are found in many hypothetical devices. science fiction stories, such as the Borg nanoprobes in Star Trek. The word KEY WORDS "nanobot" (also "nanite", "nanogene", or Nanorobot, approaches and Applications "nanoant") is often used to indicate this fictional context and is an informal or even INTRODUCTION pejorative term to refer to the engineering concept of nanorobots. -
Science & Technology Trends 2020-2040
Science & Technology Trends 2020-2040 Exploring the S&T Edge NATO Science & Technology Organization DISCLAIMER The research and analysis underlying this report and its conclusions were conducted by the NATO S&T Organization (STO) drawing upon the support of the Alliance’s defence S&T community, NATO Allied Command Transformation (ACT) and the NATO Communications and Information Agency (NCIA). This report does not represent the official opinion or position of NATO or individual governments, but provides considered advice to NATO and Nations’ leadership on significant S&T issues. D.F. Reding J. Eaton NATO Science & Technology Organization Office of the Chief Scientist NATO Headquarters B-1110 Brussels Belgium http:\www.sto.nato.int Distributed free of charge for informational purposes; hard copies may be obtained on request, subject to availability from the NATO Office of the Chief Scientist. The sale and reproduction of this report for commercial purposes is prohibited. Extracts may be used for bona fide educational and informational purposes subject to attribution to the NATO S&T Organization. Unless otherwise credited all non-original graphics are used under Creative Commons licensing (for original sources see https://commons.wikimedia.org and https://www.pxfuel.com/). All icon-based graphics are derived from Microsoft® Office and are used royalty-free. Copyright © NATO Science & Technology Organization, 2020 First published, March 2020 Foreword As the world Science & Tech- changes, so does nology Trends: our Alliance. 2020-2040 pro- NATO adapts. vides an assess- We continue to ment of the im- work together as pact of S&T ad- a community of vances over the like-minded na- next 20 years tions, seeking to on the Alliance. -
Enhancing Geometric Maps Through Environmental Interactions
Enhancing geometric maps through environmental interactions SERGIO S. CACCAMO Doctoral Thesis Stockholm, Sweden 2018 Robotics, Perception and Learning School of Electrical Engineering and Computer Science TRITA-EECS-AVL-2018:26 KTH Royal Institute of Technology ISBN 978-91-7729-720-8 SE-100 44 Stockholm, Sweden Copyright © 2018 by Sergio S. Caccamo except where otherwise stated. Tryck: Universitetsservice US-AB 2018 iii Abstract The deployment of rescue robots in real operations is becoming increasingly com- mon thanks to recent advances in AI technologies and high performance hardware. Rescue robots can now operate for extended period of time, cover wider areas and process larger amounts of sensory information making them considerably more useful during real life threatening situations, including both natural or man-made disasters. In this thesis we present results of our research which focuses on investigating ways of enhancing visual perception for Unmanned Ground Vehicles (UGVs) through environmental interactions using different sensory systems, such as tactile sensors and wireless receivers. We argue that a geometric representation of the robot surroundings built upon vi- sion data only, may not suffice in overcoming challenging scenarios, and show that robot interactions with the environment can provide a rich layer of new information that needs to be suitably represented and merged into the cognitive world model. Visual perception for mobile ground vehicles is one of the fundamental problems in rescue robotics. Phenomena such as rain, fog, darkness, dust, smoke and fire heav- ily influence the performance of visual sensors, and often result in highly noisy data, leading to unreliable or incomplete maps. We address this problem through a collection of studies and structure the thesis as fol- low: Firstly, we give an overview of the Search & Rescue (SAR) robotics field, and discuss scenarios, hardware and related scientific questions. -
Assembly and Disassembly of Magnetic Mobile Micro-Robots Towards Deterministic 2-D Reconfigurable Micro-Systems
Assembly and Disassembly of Magnetic Mobile Micro-Robots towards Deterministic 2-D Reconfigurable Micro-Systems Eric Diller,∗ Chytra Pawashe,y Steven Floyd,z and Metin Sittix Abstract rise to synthetic reality (Goldstein et al. (2005)). This is similar to virtual or augmented reality, where a computer can generate A primary challenge in the field of reconfigurable robotics and modify an arbitrary object. However, in synthetic reality, is scaling down the size of individual robotic modules. We this object has physical realization. A primary goal for pro- present a novel set of permanent magnet modules that are grammable matter is scaling down the size of each individual under 1 mm in all dimensions, called Mag-µMods, for use in module, with the aim of increasing spatial resolution of the final a reconfigurable micro-system. The modules are actuated by assembled product. Currently, the smallest deterministic, actu- oscillating external magnetic fields of several mT in strength, ated module in a reconfigurable robotic system fits inside a 2 and are capable of locomoting on a 2-D surface. Multiple cm cube (Yoshida et al. (2001)), which is a self-contained mod- modules are controlled by using an electrostatic anchoring ule that is actuated using shape memory alloy. Scaling down surface, which can selectively prevent specific modules from further into the sub-millimeter scale brings new issues, includ- being driven by the external field while allowing others to ing module fabrication, control, and communication. move freely. We address the challenges of both assembling Micro-robotics technologies of the past few years have been and disassembling two modules.