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Topic: Behavior-based robotics


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 Behavior-based robotics - Wikipedia, the free encyclopedia
Behavior-based robotics or behavioral robotics or behavioural robotics is the branch of robotics that does not use an internal model of the environment.
The school of behavior-based robots owes much to work undertaken in the 1980s at the Massachusetts Institute of Technology by Professor Rodney Brooks, who with students and colleagues built a series of wheeled and legged robots utilising the subsumption architecture.
Behavior-based robots (BBR) usually show more biological-appearing actions than their computing-intensive counterparts, which are very deliberate in their actions.
en.wikipedia.org /wiki/Behavior_based_robotics   (429 words)

  
 Behavior-based Robotics, its scope and its prospects - Birk (ResearchIndex)
Based on this, the important conceptual aspects of behavior-based robotics are explained.
First, the roots of behavior-based robotics in the scientific fields of Artificial Life and behavior-oriented Artificial Intelligence are presented.
7 A multi-agentsystem based on heterogeneous robots (context) - Birk, Belpaeme - 1998
citeseer.ist.psu.edu /birk98behaviorbased.html   (489 words)

  
 PNP Robot Lab
Broadly speaking, however, the lab was devoted to investigating a number of topics, including the relationship between behavior-based robotics and more deliberative or cognitive methods; the emergence of communication and adaptive coordination in populations of robotic or simulated agents; and the philosophical foundations and implications of such research.
In contrast to traditional artificial intelligence, behavior-based robotics follows the intellectual lead of such thinkers as Heidegger, Merlu-Ponty, and Dewey, eschewing large, complex internal representations (and their associated methods for representational transformation) in favor of internal mechanisms that mediate more-or-less directly between sensation and action.
Founded in 1998, the PNP Robot Lab was interdisciplinary in spirit, focusing on the fruitful relationship between robotics, artificial intelligence, philosophy, and cognitive science.
www.mtholyoke.edu /~wschonbe/robotlab/robotlab.html   (1209 words)

  
 Behavior-based Robotics and AI
The Seattle Robotics Society has a new contest which moves the robots outdoors, although they have not been able to totally let go of artificially designated targets, and the robots thus produced will still be dependent on the presence of specialized markers to achieve their goals.
Genghis is not a "commercially available hobby robot." Its design demonstrated one of the first examples of truly complex behaviors (i.e., multi-legged walking gaits) emerging from a simple set of distributed control structures.
Unlike the traditional AI monolithic approach to robot intelligence, this is one of the great strengths of the layered subsumption paradigm.
robots.net /article/1263.html   (2876 words)

  
 Idaho National Laboratory - Adaptive Robotics - Behavior-Based Robotics
The sub-sections which follow explain the roots of behavior based robotics, how it rose as a counter to the symbolic, deliberative approach of classical AI and how it has come to be a standard approach for developing autonomous robots.
As a design strategy, the behavior-based approach has produced intelligent systems for use in a wide variety of areas, including military applications, mining, space exploration, agriculture, factory automation, service industries, waste management, health care, disaster intervention and the home.
While some skeptics argue that a strict behavioral approach could never scale up to human modes of intelligence, others argued that the bottom-up behavioral approach is the very principle underlying all biological intelligence.
www.inl.gov /adaptiverobotics/behaviorbasedrobotics   (559 words)

  
 Behavior-Based Robotics
For example, a behavior that moves the robot towards landmarks can replace the movement suggested by obstacle avoidance with an alternative that still avoids the obstacle, but also moves closer to the landmark.
For example, a basic behavior such as obstacle avoidance can still function even in the absence of navigation goals by at least moving the robot out of the way of approaching vehicles.
Robots can be constructed with more sophisticated behavior by incrementally adding higher levels of competence.
ergo.ucsd.edu /~jfmitche/ip_paper/node11.html   (1019 words)

  
 Research Projects: eBug
The schematic sowbug is based on Tolman's purposive behaviorism, and it is believed to be the first prototype in history that actually implemented a behavior-based architecture suitable for robotics.
The schematic sowbug navigates the environment based on two types of vectors, orientation and progression, that are computed from the values of sensors perceiving stimuli.
An emulated schematic sowbug is approaching one of the stimuli in the eBug simulation.
www.cc.gatech.edu /ai/robot-lab/research/ebug   (273 words)

  
 Autonomous Mobile Robotics Laboratory
Precision controllers require expensive sensors and special purpose devices, but behavior-based robotics work has shown that architectural innovation can result in competing capabilities at significantly lower cost.
It is my belief that robotics is approaching a time when it can turn the corner from prohibitively expensive commercial systems to a technology that will be widely available.
Computers have come through this transition over the past twenty years or so, but robots are moving more slowly through this curve, due in part to the higher cost and slower improvement of the mechanical components crucial to sensing and effecting the world.
www.cs.umd.edu /projects/amrl/manifesto.html   (301 words)

  
 Tutorial Descriptions
Behavior-based robotics has, in the last decade, emerged as one of the leading approaches to mobile robot control and has been effectively applied in a variety of domains, ranging from modeling biological systems, to studying difficult robotics problems, to real-world applications.
In this tutorial we present a brief history of intelligent robotics, describe the interdisciplinary origins of behavior-based control, and place it in historical context relative to classical deliberative approaches, reactive control, and the currently most popular hybrid control.
We illustrate the basic principles of behavior-based control, and methods for system synthesis and analysis.
www.ijcai.org /past/ijcai-99/tutorials/b3.html   (455 words)

  
 Pyro, Python Robotics: PyroModuleBehaviorBasedControl
All of the active behaviors (there can be more than one) run through their IF rules and add up all of the truth values for each of the controllers.
A "behavior" is a block of control code that is responsible for a particular kind of situation or movement.
behavior says that if there is an obstacle within 1 unit in the front of the robot, then it should move slowly backwards (-2).
pyrorobotics.org /pyro?page=PyroModuleBehaviorBasedControl   (2620 words)

  
 aboutAI.net
These problems can be solved by taking the best of several approaches, so we now have behavior based robots in entertainment, service industries, the military, agriculture, mining, and even the home.
Mobile Robots: Inspiration to Implementation" by Jones and Flynn, describes all aspects of mobile robot design with an emphasis on the subsumption architecture theory and implementation in C. Brooks has teamed with several colleagues to found iRobot Corporation - aka IS Robotics.
A carefully designed network of finite state machines augmented with internal timers (called Augmented Finite State Machines, or AFSMs) can provide a robot with impressive repertoire of behaviors, without the computing overhead and poor performance so common in GOFAI systems.
www.aboutai.net /DesktopDefault.aspx?tabindex=1&tabid=2&article=aa032901a.htm   (790 words)

  
 Andrea Bonarini - Behavior-based Robotics
In Behavior-based Robotics, the control system of an autonomous robot is implemented by interacting modules, each one realizing a distinct behavior.
To each behavior are associated two sets of conditions, implemented as fuzzy predicates: the CANDO conditions define when the behavior is appropriate, the WANT conditions define the opportunity to take the action proposed by the behavior, given the context which include: environmental conditions, goals, and social interaction.
Coordination of behaviors and coordination among different robots is managed by SCARE, a system able to swich automatically among different coordination strategies, and to keep into account the specific features of the agents.
www.elet.polimi.it /upload/bonarini/Research/Behavior   (535 words)

  
 Robot Programming : A Practical Guide to Behavior-Based Robotics - From Monitor-Data.com Store
I was looking for some good books to introduce me to the topic of robotics, an interest that has been scratching at the back of my cranium for some time.
This book is a collection of tips for robot design that you would otherwise have to learn the hard way through many years of experience.
I have many robot books and this is the best and most informative book of all.
www.monitor-data.com /books/0071427783.html   (686 words)

  
 Project 1: Formalization of behavior-based robotics in control terms
The second is based on using reactive, sensor-based behaviors to find paths given little or no prior information.
In particular, behaviors for robots are formalized in terms of sets of kinetic state machines (KSMs) and the interactions of these state machines with information coming in from (limited range) sensors.
The system's behaviors can be compared with regard to the optimality criteria described above, and thus various sets of behaviors can be said to be inferior or superior to each other in a meaningful way.
www.cs.umd.edu /projects/amrl/amrl/sectionstar3_1.html   (414 words)

  
 Syllabus - Behavior Based Robotics
The project will require you to develop a working Behavior-Based Robotic system.
In particular, dishonest or unethical behavior in the execution of assigned work will be treated as follows:
Robot architectures typically have as many as three levels: high-level deliberation, medium-level sequencing and planning, and
www.vuse.vanderbilt.edu /~adamsja/Courses/BBR/syllabus.html   (1072 words)

  
 NGP/USC - Maja J. Mataric
Distributed behavior-based robotics, multi-robot control and learning, learning by imitation, humanoid robotics.
Basis behaviors are used as motor primitives, based on recent neuroscience evidence.
In the multi-robot domain, we have developed methods for real-time learning of behavior selection by multiple robots, as well as learning models of robot-environment/group interactions for improvement of a variety of controllers (including dynamic fault detection, leader seletion, and regime change adaptation).
www.usc.edu /dept/nbio/ngp/Faculty/mataric-mj.html   (432 words)

  
 Ronald Arkin's Vita
Behavior-Based Reactive Robotic Systems, full day tutorial for 1993 IEEE International Conference on Robotics and Automation, with R. Grupen, Atlanta, GA, May 1993.
Some areas of recent research activity include: cooperation, communication, and mission specification in reactive multiagent robotic systems; ecological robotic systems; unmanned aerial vehicles; usable autonomous agents; human-robot interaction and robot ethics; coordinated control of a mobile manipulator using a hybrid reactive/deliberative architecture; and motor behavior learning using genetic algorithms, case-based reasoning, and adaptive on-line methods.
Workshop on Integrating Sensors with Mobility and Manipulation, "Behavioral Approaches", IEEE International Conference on Robotics and Automation (ICRA-2000), San Francisco, CA, April 2000.
www.cc.gatech.edu /aimosaic/faculty/arkin/vita.html   (8059 words)

  
 Vorlesung: Steuerungs- und Regelungstechnik I, II
The practical training control course includes several labs related to behavior based robotics, mobile robots and learning in robotics.
Ronald C. Arkin, Motor Schema-Based Mobile Robot Navigation, International Journal of Robotics Research, 1987, pp.264-271 (copy available at the ESR office)
Brooks, R. A Robust Layered Control System for a Mobile Robot, IEEE Journal of Robotics and Automation, Vol.
esr.e-technik.uni-dortmund.de /Vorlesung_Robotics.htm   (762 words)

  
 Amazon.com: An Introduction to AI Robotics (Intelligent Robotics and Autonomous Agents): Books: Robin R. Murphy
Robot Programming : A Practical Guide to Behavior-Based Robotics by Joe Jones
This text covers all the material needed to understand the principles behind the AI approach to robotics and to program an artificially intelligent robot for applications involving sensing, navigation, planning, and uncertainty.
Embedded Robotics : Mobile Robot Design and Applications with Embedded Systems by Thomas Braunl
www.amazon.com /exec/obidos/tg/detail/-/0262133830?v=glance   (1567 words)

  
 Behavior Based Robotics
Thus, a behavior-based controller is a structured network of interacting behaviors.
Behavioral memory: keep track of sensor readings (in reasonably "stable" environments), typically using "grid representations" of the space around the agent
Each behavior can take inputs from the robot"s sensors (e.g., camera, ultrasound, infrared, tactile) and/or from other behaviors in the system, and send outputs to the robot"s effectors (e.g., wheels, grippers, arm, speech) and/or to other behaviors
www.cse.nd.edu /courses/cse471/www/bbr   (1738 words)

  
 Acroname Product Category: Books
The first true survey of intelligent behavior-based robots.
An excellent book on the current state of robotics.
Five years of research on learning robots and classifier systems.
www.acroname.com /robotics/parts/c_Books.html   (82 words)

  
 Arkin 1998: Behavior-Based Robotics
Societal Agent Theory: (MacKenzie 1996) A single representational syntax to describe teams of robots and their sensorimotor behaviors.
Arkin 1992b: Robotic team cooperation is possible without explicit communication.
Cellular robots that form giant robot, like voltron.
www.cc.gatech.edu /~jimmyd/summaries/arkin1998.html   (318 words)

  
 Arkin -- Behavior-Based Robotics -- 1998
Learning Semantic Combinatoriality from the Interaction between Linguistic and Behavioral Processes -
Bootstrapping grounded symbols by minimal autonomous robots -
Talking aibo: First experimentation of verbal interactions with an autonomous four-legged robot -
edfu.lis.uiuc.edu /~amag/langev/cited2/arkinbehaviorbasedrobotics.html   (68 words)

  
 Citations: Behavior-Based Robotics - Arkin (ResearchIndex)
A Behavior Architecture for Autonomous Mobile Robots Based on..
Journal of Intelligent and Robotic Systems 40: 45--88, 2004.
Mobile Robot Sensor Allocation Using Min-Conflict With Happiness - Gage (2001)
citeseer.ist.psu.edu /context/633093/0   (221 words)

  
 Applied AI Systems, Inc. - AAI Technical Papers - Practical Applications of Behavior-Based Robotics: The First Five Years
Despite the short period since its debut, substantial attempts are underway in the United States, Japan and Europe to put behavior-based robotics into practical use.
Applied AI Systems, Inc. - AAI Technical Papers - Practical Applications of Behavior-Based Robotics: The First Five Years
All information should be verified by the reader.
www.aai.ca /research/iecon98.html   (112 words)

  
 Shop Robot Programming : A Practical Guide to Behavior-Based Robotics - Robot Programming : A Practical Guide to Behavior-Based Robotics - Read Reviews of Robot Programming : A Practical Guide to Behavior-Based Robotics - WorldVillage Super Store
Shop Robot Programming : A Practical Guide to Behavior-Based Robotics - Robot Programming : A Practical Guide to Behavior-Based Robotics - Read Reviews of Robot Programming : A Practical Guide to Behavior-Based Robotics - WorldVillage Super Store
Book : Robot Programming : A Practical Guide to Behavior-Based Robotics
Welcome to the WorldVillage Super Store, your complete source for dvds, music, baby goods, kitchen supplies, hardware, toys, games, music and so much more!
shopping.worldvillage.com /sys/products/item_id:0071427783/search_type:image/locale:us   (140 words)

  
 Swarm Robotics
Swarm robotics is the study of how large number of relatively simple physically embodied agents can be designed such that a desired collective behavior emerges from the local interactions among agents and between the agents and the environment.
DISTRIBUTED INTELLIGENT SYSTEMS - Collective Intelligence and its Applications, IEEE workshop on distributed intelligent systems as collective robotics, agent-based manufacturing and agent-based coalition formation and their applications.
In this database, swarm robotics related literature is being compiled.
swarm-robotics.org   (293 words)

  
 BEAMINDIA
BEAM Robotics involves making robots from simple electronic and mechanical components, doesn't require programming and are more adaptable to the real world.
BEAM robots can show unexpected behavior which makes them a lot of fun to watch.
Moby and Twalky are BEAM based robots while Fire and Scamvee are microcontroller based.
beamindia.solarbotics.net   (112 words)

  
 Behavior-Based Robotics - Adaptive Robotics - Idaho National Engineering and Environmental Laboratory
The sub-sections which follow explain the roots of behavior based robotics, how it rose as a counter to the symbolic, deliberative approach of classical AI and how it has come to be a standard approach for developing autonomous robots.
While some skeptics argue that a strict behavioral approach could never scale up to human modes of intelligence, others argued that the bottom-up behavioral approach is the very principle underlying all biological intelligence.
Although many hope for a future when intelligent systems will be able to model human-like behavior accurately, they insist that this high-level behavior must be allowed to emerge from layers of control built from the bottom up.
www.inel.gov /adaptiverobotics/behaviorbasedrobotics   (112 words)

  
 Evolutionary robotics with an unique genome
Even if the robot was capable of performing an obstacle avoidance behavior, the results were worse than in simulation (the robot got stuck in several points of the environment).
Evolutionary Robotics is a promising discipline that offers plenty of possibilities.
The main goal of this project is to analize and test the PBIL (Population Based Incremental Learning, Shumeet Baluja, 1994) algorithm.
diwww.epfl.ch /lami/team/urzelai/STUDENTS/pr_pbil.html   (397 words)

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