Algorithmic Motion Planning Meets Min-Invasive Robotic Surgery
Offered By: Paul G. Allen School via YouTube
Course Description
Overview
Syllabus
Intro
Medical procedures
Why medical robots? (cont.)
Autonomous planning for medical robots
Motivation & Problem definition
Measuring distances between paths
Following reference paths-Take (1)
Domain-Specific challenges following reference
Key challenge-obstacles along the reference path
Following Paths in Task Space
Following reference paths-Extending the optimization
Design or setup optimization
Design optimization via global optimization
Existing optimization criteria
Pop quiz
Planning to minimize shearing
Evaluation
What types of guarantees do planners offer?
Planning for steerable needles
Site inspecting for CRISP robots
Algorithmic approach
Graph inspection planning-challenges
(Optimal) Graph inspection planning
Using approadmate dominance
Properties and implementation detais
Referenced papers
Taught by
Paul G. Allen School
Related Courses
4.0 Shades of Digitalisation for the Chemical and Process IndustriesUniversity of Padova via FutureLearn A Day in the Life of a Data Engineer
Amazon Web Services via AWS Skill Builder FinTech for Finance and Business Leaders
ACCA via edX Accounting Data Analytics
University of Illinois at Urbana-Champaign via Coursera Accounting Data Analytics
Coursera