03:21
Excel 2007 - Gestion des feuilles et des classeurs
13:36
4.8 Practical Considerations
06:28
5.7 Sliding Mode Control
09:36
6.4 Boundary Following
10:10
4.3 Controllability
10:51
3.1 A Simple Robot
08:33
7.8 In Conclusion
06:08
7.7 To Probe Further
09:59
7.6 Car Like Robots
13:33
7.5 Other Robot Classes
10:17
7.4 A Clever Trick
08:16
7.3 Differential Drive Trackers
09:29
7.2 A Layered Architecture
05:23
7.1 Approximations and Abstractions
04:40
6.8 Lets Do it
09:04
6.7 Practical Considerations
09:28
6.6 A Complete Navigation System
08:57
6.5 The Induced Mode
09:26
6.3 Convex and Non Convex Worlds
10:39
6.2 Hard Switches vs Blending
13:27
3.3 Linearizations
13:38
6.1 Behaviors Revisited
11:02
5.8 Regularizations
10:03
4.5 Observers
12:29
5.5 The Bouncing Ball
11:20
3.5 Stability
06:23
5.6 The Zeno Phenomenon
05:46
5.4 Danger Beware
07:30
5.3 A Counter Example
11:19
3.6 Swarm Robotics
09:34
5.2 Hybrid Automata
06:22
5.1 Switches Everywhere
09:23
4.7 The Separation Principle
08:53
3.8 State Feedback
10:05
4.1 Stabilizing the Point Mass
11:40
4.4 Segway Robots
13:45
3.4 LTI Systems
11:05
4.2 Pole Placement
05:58
4.6 Observability
09:20
3.2 State Space Models
08:32
3.7 Output Feedback
05:35
Control of Mobile Robots- 2.6 Go-to-Goal
08:13
Control of Mobile Robots- 2.2 Differential Drive Robots
10:17
Control of Mobile Robots- 2.8 Obstacle Avoidance
05:44
Control of Mobile Robots- 2.1 Driving Robots Around
08:28
Control of Mobile Robots- 2.5 Behavior-Based Robotics
04:51
Control of Mobile Robots- 2.7 The GRITS Simulator
07:35
Control of Mobile Robots- 2.4 Sensors
07:35
Control of Mobile Robots- 2.3 Odometry
07:28
Control of Mobile Robots-1.7 PID Control
06:16
Control of Mobile Robots-1.6 Performance Objectives
08:23
Control of Mobile Robots-1.5 Control Design Basics
10:27
Control of Mobile Robots- 1.8 Implementation
10:06
Control of Mobile Robots-1.4 Cruise-Controllers
10:40
Control of Mobile Robots-1.3 On the Need for Models
07:27
Control of Mobile Robots-1.2 What-s Control Theory Anyway
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