Paradigms of A.I. Robotics

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Characteristics of R.P 3. Sensing is local and behaviour-specific. Abstract representational knowledge in perceptual processing is avoided Representation is expressed as robot-centric information (no world model). Paradigms of A.I. Robotics – p.14/
Architectures of R.P 1. Subsumption Developed by Rodney Brooks in 1986 Behaviours are layered with higher levels able to override (subsume) lower ones Behaviours operate concurrently and independently (with some mechanism to resolve conflicts) 2. Potential Field Developed by Ronald Arkin in () Basic behaviours are represented by elementary potential fields Complex behaviours (complex fields) are the combination of elementary ones Paradigms of A.I. Robotics – p.15/
Page 1 and 2: Paradigms of A.I. Robotics Weiwei P
Page 3 and 4: Intelligent Robot Why do Robots Nee
Page 5 and 6: Primitive Functions of A.I. Robot
Page 7 and 8: Characteristics of H.P The Hierarch
Page 9 and 10: Pros and Cons of H.P Advantages: H
Page 11 and 12: The Reactive Paradigm Sense Act A r
Page 13: Characteristics of R.P 2. Overall b
Page 17 and 18: The Subsumption Architecture 2. Beh
Page 19 and 20: Subsumption Robot Robots built usin
Page 21 and 22: Following a Corridor Level 1: Explo
Page 23 and 24: Follow a Corridor LOOK middle STAY
Page 25 and 26: Toto the Robo Paradigms of A.I. Rob
Page 27 and 28: Primitive Potential Field (a) Unifo
Page 29 and 30: Movement via Potential Field The ro
Page 31 and 32: Magnitude Profile Question: How sho
Page 33 and 34: Generating Potential Field Definiti
Page 35 and 36: Following a Corridor Paradigms of A
Page 37 and 38: Robosoccer Paradigms of A.I. Roboti
Page 39 and 40: Difficulties with Potential Field P
Page 41 and 42: Summary of the Reactive Paradigm Po
Page 43: References [1] R. R. Murphy, Introd

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