Zachary Dodds Associate Professor of Computer Science Harvey
... [NSF proposal] Uncommon Robotic Simulation for the Common Computer Science Major – I was a co-PI to PI Frank Klassner of Villanova University on this NSF DUE CCLI Phase 2 proposal submitted January 15, 2009, which was a resubmit from 2008! Total requested funds were $457,916. [NIH proposal] Along wi ...
... [NSF proposal] Uncommon Robotic Simulation for the Common Computer Science Major – I was a co-PI to PI Frank Klassner of Villanova University on this NSF DUE CCLI Phase 2 proposal submitted January 15, 2009, which was a resubmit from 2008! Total requested funds were $457,916. [NIH proposal] Along wi ...
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[$133133] PI on award #0536173 Laptop
... The conference presentations of Kristina Ming '15 and Chris Eriksen '15, both at CCSC-SW and a AAAI spring symposium in 2014, were another particular point of pride: that team had started from scratch to create HMC's first 3d spatial models, which they then used as the basis for autonomously locali ...
... The conference presentations of Kristina Ming '15 and Chris Eriksen '15, both at CCSC-SW and a AAAI spring symposium in 2014, were another particular point of pride: that team had started from scratch to create HMC's first 3d spatial models, which they then used as the basis for autonomously locali ...
ppt
... A major difference between Symbolic and Non-Symbolic AI approaches is in modelling, or emulating, Cognition or control – in artificially intelligent machines such as robots. Symbolic, or Classical, AI tended to think in terms of control being focussed within a central, reasoning brain. Given a task ...
... A major difference between Symbolic and Non-Symbolic AI approaches is in modelling, or emulating, Cognition or control – in artificially intelligent machines such as robots. Symbolic, or Classical, AI tended to think in terms of control being focussed within a central, reasoning brain. Given a task ...
Implementation of the Potential Field Method for
... Method on the TURTLE soccer robots used by TECHUNITED. The PFM is a method in which a robot can drive to a target without a preprogammed path. It is capable of avoiding obstacles placed at random positions. The steps taken during this project will help the TECHUNITED team decide whether or not to ch ...
... Method on the TURTLE soccer robots used by TECHUNITED. The PFM is a method in which a robot can drive to a target without a preprogammed path. It is capable of avoiding obstacles placed at random positions. The steps taken during this project will help the TECHUNITED team decide whether or not to ch ...
The influence of robots on the human society
... Other important inventions were made by the French inventor Jacques de Vaucanson in the years 1737-1738. He created a mechanical duck and an automaton flute player called android. The mechanical duck was able to quack, flap its wings, paddle, drink water and eat grains while the flute player could p ...
... Other important inventions were made by the French inventor Jacques de Vaucanson in the years 1737-1738. He created a mechanical duck and an automaton flute player called android. The mechanical duck was able to quack, flap its wings, paddle, drink water and eat grains while the flute player could p ...
Robotic-fall05-4 - Computer Engineering
... wheels, not legs, and are statically stable Wheels are more efficient than legs, and easier to control There are wheels in nature, but legs are by far more prevalent, though in terms of population sizes, more than 2 legs (i.e., insects abound) Introduction to Robotics ...
... wheels, not legs, and are statically stable Wheels are more efficient than legs, and easier to control There are wheels in nature, but legs are by far more prevalent, though in terms of population sizes, more than 2 legs (i.e., insects abound) Introduction to Robotics ...
Improving Efficiency in Mobile Robot Task Planning through World
... operators1 that can be applied to each state to obtain another. In the case of robotic task planning, the former corresponds to the symbolic model of the world managed by the robot, while the latter refers to actions that the robot can carry out without planning (for example, move forward, turn, gra ...
... operators1 that can be applied to each state to obtain another. In the case of robotic task planning, the former corresponds to the symbolic model of the world managed by the robot, while the latter refers to actions that the robot can carry out without planning (for example, move forward, turn, gra ...
CS 540 * Introduction to AI Fall 2015
... (you can access this paper for free if you are on a UW-Madison network; if you use DoIT's VPN I believe you can also access this from a non-UW network, such as a computer in your home) ...
... (you can access this paper for free if you are on a UW-Madison network; if you use DoIT's VPN I believe you can also access this from a non-UW network, such as a computer in your home) ...
Cyberbotics` Robot Curriculum
... robots. It will help you understanding what robots are, what they can do for you, and most interestingly how to program them. It includes two parts: a short theoretical part and a longer practical part. Practical part is decomposed in one chapter about the computer configuration and five chapters of ...
... robots. It will help you understanding what robots are, what they can do for you, and most interestingly how to program them. It includes two parts: a short theoretical part and a longer practical part. Practical part is decomposed in one chapter about the computer configuration and five chapters of ...
Robotics - Krupa Vara Prasad Adimulapu
... The word robotics was derived from the word robot, which was introduced to the public by Czech writer Karel Čapek in his play R.U.R. (Rossum's Universal Robots), which was published in 1920. The word robot comes from the Slavic word robota, which means labour. The play begins in a factory that makes ...
... The word robotics was derived from the word robot, which was introduced to the public by Czech writer Karel Čapek in his play R.U.R. (Rossum's Universal Robots), which was published in 1920. The word robot comes from the Slavic word robota, which means labour. The play begins in a factory that makes ...
38. Behavior-Based Systems - Server users.dimi.uniud.it
... Behavior-based control employs a set of distributed, interacting modules, called behaviors, that collectively achieve the desired system-level behavior. To an external observer, behaviors are patterns of the robot’s activity emerging from interactions between the robot and its environment. To a prog ...
... Behavior-based control employs a set of distributed, interacting modules, called behaviors, that collectively achieve the desired system-level behavior. To an external observer, behaviors are patterns of the robot’s activity emerging from interactions between the robot and its environment. To a prog ...
CS 8520: Artificial Intelligence
... • Heuristics do not guarantee optimal solutions; in fact, they do not guarantee any solution at all: all that can be said for a useful heuristic is that it offers solutions which are good enough most of the time. – Feigenbaum and Feldman, 1963, p. 6 CSC 8520 Fall, 2008. Paula Matuszek ...
... • Heuristics do not guarantee optimal solutions; in fact, they do not guarantee any solution at all: all that can be said for a useful heuristic is that it offers solutions which are good enough most of the time. – Feigenbaum and Feldman, 1963, p. 6 CSC 8520 Fall, 2008. Paula Matuszek ...
Artificial Intelligence, Ontologies, and Common Sense
... be familiar with the precise way the information is stored, either through field names or by knowing which databases exist, and can be tapped.” ...
... be familiar with the precise way the information is stored, either through field names or by knowing which databases exist, and can be tapped.” ...
Lebeltel2000
... application of the marginalization rule. The denominator appears to be a normalization term. Consequently, by convention, we will replace it by Σ . It is well known that general Bayesian inference is a very difficult problem, which may be practically intractable. Exact inference has been proved to b ...
... application of the marginalization rule. The denominator appears to be a normalization term. Consequently, by convention, we will replace it by Σ . It is well known that general Bayesian inference is a very difficult problem, which may be practically intractable. Exact inference has been proved to b ...
CS 8520: Artificial Intelligence
... correct but gets the job done. Eliza Act • A heuristic (heuristic rule, heuristic • method) is a rule of thumb, strategy, trick, • simplification, or any other kind of device • which drastically limits search for solutions • in large problem spaces. • Heuristics do not guarantee optimal solutions; i ...
... correct but gets the job done. Eliza Act • A heuristic (heuristic rule, heuristic • method) is a rule of thumb, strategy, trick, • simplification, or any other kind of device • which drastically limits search for solutions • in large problem spaces. • Heuristics do not guarantee optimal solutions; i ...
Frankenstein`s futurity: replicants and robots
... Demonstrating how affirmative perspectives on artificial life emerge from Shelley’s text requires more detailed attention to the original work. Today’s positive interpretations draw on an undercurrent in Frankenstein, to which feminist critics of the 1970s and 1980s first drew attention: the novel’s ...
... Demonstrating how affirmative perspectives on artificial life emerge from Shelley’s text requires more detailed attention to the original work. Today’s positive interpretations draw on an undercurrent in Frankenstein, to which feminist critics of the 1970s and 1980s first drew attention: the novel’s ...
review
... • If I say use Propositional Logic, use Propositional Logic. • If I ask what does the agent know at some point in time, show me the strongest thing you can say. • If I give a problem to solve using logic, then I want you to show how a machine could solve it mechanically. Not that you as a human can ...
... • If I say use Propositional Logic, use Propositional Logic. • If I ask what does the agent know at some point in time, show me the strongest thing you can say. • If I give a problem to solve using logic, then I want you to show how a machine could solve it mechanically. Not that you as a human can ...
Introduction to Artificial Intelligence
... “I want to design a machine that will be proud of me – Danny Hillis” ...
... “I want to design a machine that will be proud of me – Danny Hillis” ...
Specific amino acids inhibit food intake via the area
... sensing neurons. Indeed, it was shown that the injection of the amino acid Leucine directly into the brain ventricles inhibits food intake via modulation of mTOR-signaling (Cota et al. 2006; Blouet & Schwartz, 2012; Morrison et al. 2007). However, the role of this effect was challenged by the observ ...
... sensing neurons. Indeed, it was shown that the injection of the amino acid Leucine directly into the brain ventricles inhibits food intake via modulation of mTOR-signaling (Cota et al. 2006; Blouet & Schwartz, 2012; Morrison et al. 2007). However, the role of this effect was challenged by the observ ...
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[pdf]
... main sensor. The Agilo RoboCuppers [7] are customized Pioneer I robots, with differential drive and a fixed forward facing color CCD camera. They act upon an allocentric belief state, which is acquired by cooperative state estimation. For the experiments we will present later, it is important that ...
... main sensor. The Agilo RoboCuppers [7] are customized Pioneer I robots, with differential drive and a fixed forward facing color CCD camera. They act upon an allocentric belief state, which is acquired by cooperative state estimation. For the experiments we will present later, it is important that ...
ppt
... Definitions of AI – think rationally think like a human but better battle of neats and scruffies extension of long tradition of analysing thought – rationality logic as basis for programming – completed by 1960’s BUT limited usefulness extensions to real situations: too little, too much o ...
... Definitions of AI – think rationally think like a human but better battle of neats and scruffies extension of long tradition of analysing thought – rationality logic as basis for programming – completed by 1960’s BUT limited usefulness extensions to real situations: too little, too much o ...
Notes 1: Introduction to Artificial Intelligence
... Can Computers Learn and Adapt ? • Learning and Adaptation – consider a computer learning to drive on the freeway – we could teach it lots of rules about what to do – or we could let it drive and steer it back on course when it heads for the embankment • systems like this are under development (e.g. ...
... Can Computers Learn and Adapt ? • Learning and Adaptation – consider a computer learning to drive on the freeway – we could teach it lots of rules about what to do – or we could let it drive and steer it back on course when it heads for the embankment • systems like this are under development (e.g. ...
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... - Cortical Action Planning This central control unit which we also refer to as the Cortex Simulator controls any communication with the external world. It receives its tasks from the sentence analysis and processes the visual and sensorimotor inputs, which are sent via CORBA. The instructions in the ...
... - Cortical Action Planning This central control unit which we also refer to as the Cortex Simulator controls any communication with the external world. It receives its tasks from the sentence analysis and processes the visual and sensorimotor inputs, which are sent via CORBA. The instructions in the ...
PDF file
... programmed. The amount of work in the education we can assume, as a first approximation, to be much the same as for the human child.” However, there was a severe lack of computer controlled machinery, during his time when the first electronic computer Colossus had just been finished. Turing suggeste ...
... programmed. The amount of work in the education we can assume, as a first approximation, to be much the same as for the human child.” However, there was a severe lack of computer controlled machinery, during his time when the first electronic computer Colossus had just been finished. Turing suggeste ...