Contents
- 15.1 Overview
- 15.2 Introduction
- 15.2.1 Friend or Foe?
- 15.2.2 Different Kinds of Robots
- 15.3 Global Planning
- 15.3.1 Planning Actions -- Means--Ends Analysis
- 15.3.2 Planning Routes -- Configuration Spaces
- 15.4 Local Planning
- 15.4.1 Local Planning and Obstacle Avoidance
- 15.4.2 Finding Out about the World
- 15.5 Limbs, Legs and Eyes
- 15.5.1 Limb Control
- 15.5.2 Walking -- On One, Two or More Legs
- 15.5.3 Active Vision
- 15.6 Practical Robotics
- 15.6.1 Controlling the Environment
- 15.6.2 Safety and Hierarchical Control
- 15.7 Summary
Glossary items referenced in this chapter
A* algorithm, accuracy, active vision, ambiguous image, aperture, artificial life, Asimov, Isaac, autonomous car, autonomous vehicles, backtracking, backward reasoning, branching factor, breadth first search, camera!aperture, camera!focus, camera!zoom, closed-loop control, compliant motion, computer vision, configuration space, constraints, current state representation, cyclotorsion, Daleks, degrees of freedom (robotics), depth of field, depth perception, disambiguation, divide and conquer, edge detection, epistemic action, equilibrium, exploration-exploitation trade-off, feedback, figure-ground separation, fixation point, focus, forward reasoning, Frankenstein, global feedback, global planning, goal state, ground truth, HAL 9000, heuristic evaluation function, heuristic search, historical representation, home automation, homeostasis, industrial robotics, knowledge-rich search, laws of robotics, limb control, linear planning, Lisp, local feedback, local planning, means-ends analysis, monocular vision, moving obstacles, neural network, non-linear planning, obstacle avoidance, open-loop control, pressure feedback, pruning, reactive movement, reasoning with uncertainty, robotics!feedback, robotics!memory, robotics!military, robotics!practical, robotics!safety, robotics!sensing, rote learning, route planning, sensor accuracy, Shelley, Mary, SHRDLU, soft-robotics, software ring-fence, sonar, state space search, stereo vision, Towers of Hanoi, uncertainty, vergence, zoom
Prolog examples (from 1st ed.)
meansend.p | means-end analysis |