Robotic Manipulation
- Pseudo-inverse as an optimization - Adding velocity constraints - Adding position and acceleration constraints - Joint centering - Tracking a desired pose - Alternative formulations + Exercises Chapter 4: Geometric Pose Estimation + Cameras and depth sensors - Depth sensors - Simulation + Re
Before you start
- Basic Python familiarity
- Comfort with algebra or calculus basics
- Interest in robotics systems
About this guide
- Pseudo-inverse as an optimization
- Adding velocity constraints
- Adding position and acceleration constraints
- Joint centering
- Tracking a desired pose
- Alternative formulations
- Exercises
Chapter 4: Geometric Pose Estimation
- Cameras and depth sensors
- Depth sensors
- Simulation
- Representations for geometry
- Point cloud registration with known correspondences
- Iterative Closest Point (ICP)
- Dealing with partial views and outliers [...] and the idea that birds with articulate
Common questions
What will I learn in Robotic Manipulation?
- Pseudo-inverse as an optimization - Adding velocity constraints - Adding position and acceleration constraints - Joint centering - Tracking a desired pose - Alternative formulations + Exercises Chapter 4: Geometric Pose Estimation + Cameras and depth sensors - Depth sensors - S
Is Robotic Manipulation free?
Yes — this guide is free to access through MIT OpenCourseWare. Some providers may offer paid certificates separately.
Do I need any prerequisites?
Recommended prep: Basic Python familiarity; Comfort with algebra or calculus basics; Interest in robotics systems.
How long does it take?
Self-paced (provider defined). Most learners complete this guide in self-directed sessions over a few weeks.
Does it offer a certificate?
This guide does not include a formal certificate. Focus is on the learning material itself.
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