Page 9 - Innovations in Intelligent Machines

Contents

Foreword ...................................................... V

Preface ........................................................ VII
Intelligent Machines: An Introduction
Lakhmi C. Jain, Anas Quteishat, and Chee Peng Lim ................ 1
1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
2 Learning in Intelligent Machines. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2
3 Application of Intelligent Machines . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3
3.1 Unmanned Aerial Vehicle (UAV) . . . . . . . . . . . . . . . . . . . . . . . . . . 3
3.2 Underwater Robot . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4
3.3 Space Vehicle ........................................... 4
3.4 Humanoid Robot ........................................ 5
3.5 Other Attempts in Intelligent Machines . . . . . . . . . . . . . . . . . . . . . 6
4 Chapters Included in this Book . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7
5 Summary. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7
References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8

Predicting Operator Capacity for Supervisory Control
of Multiple UAVs
M.L. Cummings, Carl E. Nehme, Jacob Crandall, and Paul Mitchell ... 11
1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11
2 Previous Experimental Multiple UAV studies . . . . . . . . . . . . . . . . . . . . 12
3 Predicting Operator Capacity through Temporal Constraints . . . . . . 14
3.1 Wait Times . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15
3.2 Experimental Analysis of the Fan-out Equations . . . . . . . . . . . . . 16
3.3 Linking Fan-out to Operator Performance. . . . . . . . . . . . . . . . . . . 24
3.4 The Overall Cost Function . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25
3.5 The Human Model ....................................... 27
3.6 Optimization through Simulated Annealing . . . . . . . . . . . . . . . . . 28
3.7 Results of Simulation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29