Designing Autonomous Mobile Robots phần 1 pps

[...]... properties and methods 18 6 Arbitration and competition among agents 18 7 Who to believe 18 8 Changing one’s mind 18 9 Summary 18 9 Chapter 13 : Instilling Pain, Fear and Confidence 19 1 Pain and annoyance 19 1 Virtual pain 19 1 Avoiding pain and humiliation 19 4 The purpose of virtual confidence 19 8 x Contents Calculating... 14 7 Hard navigation 14 9 The concept of fuzzy navigation 15 1 Other profiles 16 4 The referenced state 16 5 Reducing uncertainty 16 6 Chapter 12 : Sensors, Navigation Agents and Arbitration 16 9 Sensor types 16 9 Guidelines for selecting and deploying navigation and collision avoidance sensors 17 8 Navigation agents 18 6...Contents Chapter 10 : Navigation as a Filtering Process 13 7 Filtering for the truth 13 7 The importance of uncertainty 13 8 Modeling uncertainty 14 0 Reducing uncertainty 14 3 Learning to be accurately uncertain 14 4 Uses of uncertainty 14 4 Chapter 11 : Hard Navigation vs Fuzzy Navigation 14 5 Sensor data and maps 14 5 Navigation... is permanently burned into the memory of the onboard processors 15 Chapter 2 ;////////////////////////////////////////////////////////////////////// ; B13_ABAP.sgv- Path file generated by PathCAD Version 3.63 ; ; Path program from B13_AB to B13_AP ; Map Name: B13 [B13] ; Map Desc: B13 Warehouse ; ; Generated by: JMH ; Generated on: 01/ 16/02 at: 08:54 ;//////////////////////////////////////////////////////////////////////... reporting 290 Summary 294 Chapter 19 : The Industry, Its Past and Its Future 295 The history of robotics 296 The mobile robotics industry 300 Industry segmentation for autonomous mobile robots 302 The government sector 309 Why aren’t the robots here yet? 318 The future 3 21 Appendix: Referenced Laws and Formulas 325 Law... virtual confidence 200 Summary 207 Chapter 14 : Becoming Unstuck in Time 209 Getting past sequential thinking 209 Thinking of a mobile robot as multiple robot time-places 214 Managing the time dimension 217 Chapter 15 : Programming Robots to Be Useful 219 Preprogramming vs teaching paths 219 Embedding data into maps 222 Map interpreters... following states: State Number Mode L>Dmax and R>Dmax 1 OFF NC 2 FORWARD X 3 FORWARD 4 L D max Range Test R . 18 7 Who to believe 18 8 Changing one’s mind 18 9 Summary 18 9 Chapter 13 : Instilling Pain, Fear and Confidence 19 1 Pain and annoyance 19 1 Virtual pain 19 1 Avoiding pain and humiliation 19 4 The purpose. goal seeking 11 1 A practical starting point and “a priori” knowledge 11 5 Chapter 8: Live Reckoning 11 7 Understanding why good dead reckoning is crucial 12 0 Picking coordinate systems 12 1 Tick calculations. features 14 7 Hard navigation 14 9 The concept of fuzzy navigation 15 1 Other profiles 16 4 The referenced state 16 5 Reducing uncertainty 16 6 Chapter 12 : Sensors, Navigation Agents and Arbitration 16 9 Sensor