Update on Interesting talk on Autonomous Vehicles by Peter Stone

From: Camron
Sent on: Tuesday, August 14, 2012 7:32 AM

Just a reminder that the talk is tomorrow at 6:30 PM, and Dr. Stone may bring the actual robotic car to let us see it and the modifications.

See y'all there,
Camron


--- On Wed, 8/8/12, Camron Malik <[address removed]> wrote:

From: Camron Malik <[address removed]>
Subject: Interesting talk on Autonomous Vehicles by Peter Stone
To: [address removed]
Date: Wednesday, August 8, 2012, 12:52 PM

 

Hi All,

 

There is a very interesting talk on Autonomous vehicles scheduled for next Wednesday August 15th at 6:30 PM by Dr. Peter Stone of UT, Austin. The AI and algorithm aspects apply directly to gaming. See details below.

 

The talk is offered by the IEEE - Computer Society, includes food/drinks and is free, and is at the Advisory Board location on Riata Trace Pkwy. Sign up at the link below.

  

 

Title:  Intersections of the Future: Using Fully Autonomous Vehicles

 

Date/Time:  Wednesday, August 15th at 6:30 PM (includes food/drinks)

 

Sign-Up:   https://meetings.vtools.ieee.org/meeting_view/list_meeting/13375

 

Abstract:

 

Artificial intelligence research is ushering in a new era of

sophisticated, mass-market transportation technology. While computers

can already fly a passenger jet better than a trained human pilot,

people are still faced with the dangerous yet tedious task of driving

automobiles. Intelligent Transportation Systems (ITS) is the field of

study that aims to use artificial intelligence to make transportation

safer, cheaper, and more efficient. Recent advances in ITS point to a

future in which vehicles themselves handle the vast majority of the

driving task. Once autonomous vehicles become popular, autonomous

interactions amongst *multiple* vehicles will be possible. Current

methods of vehicle coordination, which are all designed to work with

human drivers, will be outdated. The bottleneck for roadway efficiency

will no longer be the drivers, but rather the mechanism by which those

drivers' actions are coordinated. While open-road driving is a

well-studied and more-or-less-solved problem, urban traffic scenarios,

especially intersections, are much more challenging.

 

This talk will address the question: "To what extent and how can a

multiagent intersection control mechanism take advantage of the

capabilities of autonomous vehicles in order to make automobile travel

safer and faster?'' First, I will introduce and specify the problem of

intersection management as a multiagent system and define a metric by

which solutions can be evaluated. Next, I will propose a novel

multiagent intersection control mechanism in which autonomous driver

agents "call ahead'' and reserve space-time in the intersection,

pending the approval of an arbiter agent called an intersection manager,

which is located at the intersection.

 

Speaker:

 

Dr. Peter Stone is an Alfred P. Sloan Research Fellow, Guggenheim

Fellow, AAAI Fellow, Fulbright Scholar, and Professor in the Department

of Computer Sciences at the University of Texas at Austin. He received

his Ph.D in Computer Science in 1998 from Carnegie Mellon University.

From 1999 to 2002 he was a Senior Technical Staff Member in the

Artificial Intelligence Principles Research Department at AT&T Labs -

Research. Peter's research interests include machine learning,

multiagent systems, robotics, and e-commerce. In 2003, he won a CAREER

award from the National Science Foundation for his research on learning

agents in dynamic, collaborative, and adversarial multiagent

environments. In 2004, he was named an ONR Young Investigator for his

research on machine learning on physical robots. In 2007, he was awarded

the prestigious IJCAI 2007 Computers and Thought award, given once every

two years to the top AI researcher under the age of 35.

 

Location:

 

THE ADVISORY BOARD - BUILDING 7 (map)

Room Number: Suite 100

12357-C Riata Trace Parkway

Bldg 7, Suite 100

Austin,  Texas

United States 78727

 

Meeting Agenda:

6:30 p.m. Networking and Gathering

7:00 p.m. Call to Order, Announcement

7:15 p.m. Presentation, with Q/A

8:45 p.m. Meeting Evaluation, Adjourn

__._,_.___

Cheers,

Camron

 

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