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Classroom Contents
A Few Challenge Problems from Robotics
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- 1 Introduction
- 2 Backflips
- 3 Models
- 4 Experiments
- 5 Perception
- 6 Types of Models
- 7 Q Functions
- 8 Deep Models
- 9 Data vs Physics
- 10 State Space
- 11 Use Cases
- 12 Online Optimization
- 13 State Estimation
- 14 Physics Models
- 15 Lagrangian State Parameters
- 16 Gradientbased Policy Search
- 17 L4DC
- 18 Static Output Feedback
- 19 OverParameterization
- 20 Eula Parameters
- 21 Lessons from Roboticists
- 22 The 2D Hopper
- 23 Rare Event Simulation
- 24 Traditional Approach
- 25 Failure Cases
- 26 Hopping Robot
- 27 Manipulation Notes
- 28 planar gripper
- 29 robot simulators
- 30 how to run a robot
- 31 occupation measures
- 32 convergence
- 33 language and state
- 34 linear models
