University of Colorado Boulder - Robotic Mapping and Trajectory Generation
- Offered byCoursera
- Public/Government Institute
Robotic Mapping and Trajectory Generation at Coursera Overview
Duration | 25 hours |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
Robotic Mapping and Trajectory Generation at Coursera Highlights
- Earn a certificate of completion
- Add to your LinkedIn profile
- 13 quizzes
Robotic Mapping and Trajectory Generation at Coursera Course details
- What you'll learn
- Use basic feedback control techniques for inverse kinematics of (non-)Holonomic mechanisms.
- Apply coordinate transforms to multi-dimensional sensor signals.
- Understand basic probabilistic representations to deal with uncertainty from measurement noise.
- In this second course of the Introduction to Robotics specialization, "Robotic Mapping and Trajectory Generation", you will learn how to perform basic inverse kinematics of (non-)holonomic systems using a feedback control approach
- You will also learn how to process multi-dimensional sensor signals such as laser range scanners for mapping
- Additionally, you will apply the overarching focus of mechanisms and sensors as sources of uncertainty and gain techniques to how to model and control them
- It is recommended that you complete the first course of this specialization, “Introduction to Robotics: Basic Behaviors- before beginning this one
- This course can be taken for academic credit as part of CU Boulder's MS in Computer Science degrees offered on the Coursera platform
- These fullyaccredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history
Robotic Mapping and Trajectory Generation at Coursera Curriculum
Advanced Sensor: Range finders and Homogeneous transforms
Introduction to the Specialization
Meet the Instructor
Introduction to "Robotic Mapping and Trajectory Generation"
Range Finders and Homogeneous Transforms
Set Up a Range Finder in Webots
Range Sensing
Transforming 1D-Range Images into World Coordinates
Homogeneous Transforms
Earn Academic Credit for your Work!
Course Support
Course Activities
Laser Range Finders
About Homogeneous Transforms
Homogeneous Transforms Practice
Hands On: Commissioning the Range Finder
Hands-On: Transforming World Coordinates in Webots
Range Finder Devices
Introduce Yourself!
Mapping: Basic Representations
Mapping
Basic Mapping: Overview
Map Representations
Topological Maps
Grid Maps and Graphs
QuadTrees
Hands-On: Mapping Part I - Basic Mapping
Topological Maps and Graphs
QuadTrees
Example QuadTree Implementation
Mapping: Probabilistic Representations and Configuration Space
Probabilistic Mapping and Configuration Space
Probabilistic Map Representations
Configuration Space
Bresenham's Line Algorithm
Hands-On: Mapping Part II -Probabilistic Mapping
Hands-On: Mapping Part III - Configuration Space
Inverse Kinematics: Trajectory Following
Trajectory Following
Trajectory Following - Set Up
Trajectory Following - Computing Error
Control
Trajectory Following
Euclidian Distance and Heading Error
Proportional Control
PID Control
Setup "supervisors" and markers in Webots
Hands-On: Distance and Heading Error
Control
PID Control
Implementing Mapping and Trajectory Generation
Differential Kinematics and Control
Implementing Mapping and Trajectory Generation
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