Chapter 15 – Planning and robotics

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, agents, ambiguous image, aperture, artificial life, Asimov, Isaac, autonomous car, autonomous vehicle, 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.pmeans-end analysis