Path planning: Short overview of old and recent algorithms

April 18, 2023
3:00-4:00pm ET
Cummings 402
Speaker: Fabrizio Santini
Host: Marty Allen

Abstract

Demo Class:

Path planning is probably one of the most crucial research issues in artificial intelligence. Every problem that requires finding the sequence of choices or actions that leads to its solution is, at its core, a path-planning problem. In this talk, I will go through an overview of the major families of path-planning algorithms and some examples. We will review the golden standards for each family and introduce some new algorithms based on recent advancements in machine learning.

Bio:

Fabrizio Santini, Ph.D., is the Associate Director of Data Sciences and Artificial Intelligence at Vicarious Surgical. His work centers on developing and integrating Machine Learning and Artificial Intelligence for autonomous surgical robots.

His honors include an IEEE-ICRA 2006 Best Vision Paper Award, numerous publications in Artificial Neural Networks and Depth Perception in Biomimetic Robotics, including a paper in Nature focusing on the role of miniature eye movements in fine details perception. He also holds several patents with former and current employers, Amazon Robotics, Neurala, iRobot, and Vicarious Surgical.

Dr. Santini received his Ph.D. in Computer Science and Robotics from the University of Florence, Italy, and an M.Sc. in Computer Science for Artificial Intelligence from the University of Rome “La Sapienza,” Italy.