Home page for ARPA-sponsored Research Project on

Machine Learning for Real Time Planning and Control

Objective: To develop and demonstrate useful learning capabilities for autonomous robots. This requires (1) scaling up machine learning algorithms to handle more complex learning tasks while still using realistic amounts of training data, and (2) integrating machine learning capabilities into architectures for real time planning and control.

Principal Investigator: Tom Mitchell, CMU School of Computer Science

Project Personnel:

Rich Caruana
Tom Mitchell
Joseph O'Sullivan
Reid Simmons
Sebastian Thrun
David Zabowski

See a survey of our mobile robot research based on the Xavier robot.

See publications related to this project.

Last Updated: 10/14/94
Tom.Mitchell@cmu.edu

Machine Learning for Real Time Planning and Control

Last Updated: 10/14/94