Murphy, R. R. (2000). Introduction to AI Robotics. Cambridge, MA: MIT Press. Home/Search Document Not in Database Summary Related Articles Check |
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Learning Localisation Based on Landmarks using - Self-Organisation Kaustubh.. (Correct)
....external world is very complex thus making it often unpredictable [2] With a pre defined program the robot can navigate only within a highly controlled environment [7] There are various ways to address the problem of localisation. The most common approach is to ignore the errors of localisation [6]. This has the advantage of being simple but a major disadvantage is that it cannot be used as a global planning method. To overcome this problem, another technique updates the robot location by bar codes and laser sensors in the environment, thus giving it an explicit location. This method was ....
....is that it cannot be used as a global planning method. To overcome this problem, another technique updates the robot location by bar codes and laser sensors in the environment, thus giving it an explicit location. This method was purely motivated by the go until you get there philosophy [6]. Another approach was to use topological maps where symbolic information for localisation at certain points for instance gateways was being used [3, 12, 4] With gateways as a navigational strategy the robot can change its direction for instance at intersections of hallways. Here the robot is not ....
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Robin R. Murphy. Introduction to AI Robotics. The MIT Press, London, England, 2000.
Designing Agent Behavior with the Extensible Agent.. - Lötzsch, Bach.. (Correct)
....and the pursuit of long term strategic behavior remain a challenge. According to the dynamics of soccer, the agents act with only very limited foresight. Most teams in RoboCup are using layered architectures, with relatively reactive behaviors (basic skills) at the lowest level (cf. e.g. [2, 12, 7]) Ordering di#erent behaviors on layers allows to follow di#erent goals in parallel. Behaviors on higher levels invoke or activate behaviors on lower levels. As long as the architecture has to manage only few basic behaviors, the separation of behaviors in two or three layers may be su#cient. But ....
R. R. Murphy. An Introduction to AI Robotics. The MIT Press, 2000.
ITEAMS - An Intelligent Teaching Environment with.. - Dentinger, Scheutz (2002) (Correct)
....programs. 1 Introduction Agent based programming assignments that require students to specify and implement agent architectures for simulated and robotic agents have become an important aspect of courses in artificial intelligence and even more so in behavior based robotics (e.g. Arkin1998] Murphy2000] Russell Norvig1995] Such programming assignments can be extremely instructive, helping students appreciate the difficulties connected with making agents perform even simple tasks properly. In introductory artificial intelligence courses, they also help students to understand how AI ....
Murphy, R. 2000. Introduction to AI Robotics,. MIT Press.
Covering the Path Space: A Casebase Analysis for Mobile.. - Kruusmaa, Willemson (2002) (Correct)
....with all different solutions to the current problem according to our similarity measure. 2.2 Path Planning In the context of mobile robotics, path planning means finding a collision free path from start to goal. The method of path planning depends on the world model of the robot (see e.g. [9] for an overview of intelligent robotics and path planning techniques) In this work we use a common world representation in mobile robotics a grid map. A grid map represents the world as a grid of small cells. Some cells that are known to contain static obstacles can be marked as occupied. ....
R.R.Murphy. Introduction to AI Robotics. The MIT Press, 2000.
Experiments in Adjustable Autonomy - Goodrich, Jr., Crandall, Palmer (2001) (8 citations) (Correct)
....1995) Autonomous robot control and vehicle design has an extensive history. A complete review of the literature is beyond the scope of this paper, but we do note the seminal work of Brooks with behavior based robotics (Brooks 1986) We further note the excellent textbooks on the subject by Murphy (Murphy 2000) and by Arkin (Arkin 1998) There are many approaches to behavior based robotics, but in this paper we focus on approaches based on utilitarian voting schemes (Rosenblatt 1995) as well as artificial potential fields (Chuang Ahuga 1998; Frixione, Vercelli, Zaccaria 1998; Volpe 1994) the last ....
Murphy, R. R. 2000. Introduction to AI Robotics. MIT Press.
Multiple Goal Q-Learning: Issues and Functions - Crabbe (2001) (Correct)
....that action. While a precise calculation of this probability is dicult given the typical input to a robotic agent, these probabilities can be estimated by a function of distance. One function that is already in common use among roboticists is the inverse of the perceived distance to the object [7]. That is, when a robot senses an object, it receives an input in the range (0;1) that grows monotonically as the object becomes closer. This is usually a linear function, but can be exponential, like the probability function it is estimating. We can thus represent the Q function as a bi linear ....
R. R. Murphy. Introduction to AI Robotics. MIT Press, Boston, 2000.
Conflict Metric as a Measure of Sensing Quality - Jennifer Carlson Robin (2005) Self-citation (Murphy) (Correct)
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R. Murphy, Introduction to AI Robotics. MIT Press, 2000.
Human-Robot Coordination Using Scripts - Barnes, Murphy, Craighead (2004) Self-citation (Murphy) (Correct)
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Robin R. Murphy. Introduction to AI Robotics. MIT Press, 2000.
Principles And Experiences In Using Legos To Teach Behavioural .. - Gage, Murphy (2003) Self-citation (Murphy) (Correct)
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Murphy, R. R., Introduction to AI Robotics. Cambridge, Massachusetts: The MIT Press, 2000.
Conflict Metric as a Measure of Sensing Quality - Jennifer Carlson Robin (2004) Self-citation (Murphy) (Correct)
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R. Murphy, Introduction to AI Robotics. MIT Press, 2000.
University Mentoring For First Lego League - Howell, McCaffrey, Murphy (2003) Self-citation (Murphy) (Correct)
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R. Murphy, Introduction to AI Robotics. Cambridge, Massachusetts: The MIT Press, 2000.
Human-Robot Interactions during the Robot-Assisted Urban.. - Casper, Murphy (2003) (14 citations) Self-citation (Murphy) (Correct)
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R. Murphy, Introduction to AI Robotics. The MIT Press, 2000.
Human-Robot Interaction in USAR Technical Search: Two Heads.. - Burke, Murphy (2004) (1 citation) Self-citation (Murphy) (Correct)
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R.R. Murphy, Introduction to AI Robotics. Cambridge, MA, MIT Press, 2000.
Reliability Analysis of Mobile Robots - Jennifer Carlson Robin (2003) (2 citations) Self-citation (Murphy) (Correct)
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Robin R. Murphy. Introduction to AI Robotics. The MIT Press, 2000.
Emotion-Based Control of Cooperating Heterogeneous.. - Murphy, Lisetti.. (2002) (2 citations) Self-citation (Murphy) (Correct)
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R. R. Murphy, Introduction to AI Robotics, MIT Press, 2000.
How UGVs Physically Fail in the Field - Carlson, Murphy (2004) Self-citation (Murphy) (Correct)
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Robin R. Murphy. Introduction to AI Robotics. The MIT Press, 2000.
Sensor Scheduling in Mobile Robots Using Incomplete.. - Gage, Murphy (2004) Self-citation (Murphy) (Correct)
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R. Murphy, Introduction to AI Robotics. Cambridge, MA: MIT Press, 2000.
Human-Robot Interactions during the Robot-Assisted Urban Search.. - Casper (2002) (14 citations) Self-citation (Murphy) (Correct)
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R. Murphy. Introduction to AI Robotics. The MIT Press, 2000.
Mixed-Initiative Control of Multiple Heterogeneous.. - Murphy, Casper.. (2000) (2 citations) Self-citation (Murphy) (Correct)
....marked pixels are displayed and sent to the vision agent. F. 1 Behavioral Sensor Fusion While the operator could identify a victim from any of the cues displayed by the vision, the vision agent itself can more aggressively alert the operator to presence of a victim using behavioral sensor fusion[23]. The behavioral sensor fusion algorithm assumed that if two or more detectors were operating on the robot and two or more reported cues in the same location, then that was a sufficient positive. After the detectors have run and updated their displays, they send the (x, y) centers of the ....
R.R. Murphy, Introduction to AI Robotics, MIT Press, Cam- bridge, MA, 2000.
Emotion-Based Control of Cooperating Heterogeneous.. - Murphy, Lisetti.. (2001) (2 citations) Self-citation (Murphy) (Correct)
....II describes the work of other researchers in applying emotions to robots as well as discusses solutions to the cyclic dependency. Sec. III describes a distributed control scheme using a formal multilevel model of emotions following [6] compatible with hybrid deliberative reactive architectures [7]. Sec. IV describes the implementation on a pair Nomadic Technologies Nomad 200 robots with heterogeneous sensor and behavioral suites and demonstrations at the the 2000 AAAI Mobile Robot Competition in Austin, Texas, where it won numerous awards, and at the Museum of Science and Industry (MOSI) ....
....system. Failure to make progress on tasks or goals changes the emotional state of the agent, which then produces a multilevel response. In this hierarchy there are three levels comparable to the commonly accepted groupings of activity in a hybrid delib erative reactive robot architecture [7]. The three levels are shown in Fig. i and are described below: Sensor;y motor. At this basic level, sensed or internal events lead to emotions which then modify the motor output of active behaviors. This is similar to the reflexive behaviors, where the output of a behavior is proportional to the ....
R.R. Murphy, Introduction to AI Robotics, MIT Press, 2000.
Unknown - (2003) (Correct)
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Murphy, R. R. (2000). Introduction to AI Robotics. Cambridge, MA: MIT Press.
Walking the Grid: Robotics in CS 2 - Myles Mcnally Department (Correct)
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Murphy, R. (2000): Introduction to AI Robotics. Cambridge, MIT Press.
Unknown - For Cooperative Framework (Correct)
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R. R. Murphy. Introduction to AI robotics. Bradford Book/MIT Press, 2000.
Behaviour-Based Reinforcement Learning - Konidaris (2003) (Correct)
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Murphy, R. (2000). Introduction to AI Robotics. MIT Press, Cambridge, Massachusetts, 1st edition.
Qualitative Map Learning Based on Co-visibility of Objects - Yairi, Hori (2003) (Correct)
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R. Murphy. Introduction To AI Robotics. MIT Press, 2000.
Designing a Low-cost, Expressive Educational Robot - Hsiu, Richards, Bhave.. (Correct)
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Murphy, R. Introduction to AI Robotics. MIT Press, 2000.
Formal Measures of Learning in a Secondary School.. - Nourbakhsh.. (Correct)
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Murphy, R. Introduction to AI Robotics. MIT Press, 2000.
Learning to Optimize Mobile Robot Navigation Based on HTN.. - Belker, Hammel, Hertzberg (Correct)
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R. Murphy. Introduction to AI Robotics. MIT Press, 2000.
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