Planning for Large-Scale Multi-Robot Systems

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Knobbe Martens

2040 Main Street, 2nd Floor · Irvine, CA

How to find us

Bring your parking pass into the meeting and have it validated in the lobby by the security guard.

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Details

Please join us for the first of the Orange County ACM Chapter's 2019 bi-monthly evening program series.

Agenda

6:30 PM Doors Open & Networking

7:00 PM Announcements and Presentation

8:30 PM Meeting Adjourned

Event Details

Multi-robot systems are now being used in industry. For example, hundreds of robots navigate autonomously in Amazon fulfillment centers to move inventory pods all the way from their storage locations to the inventory stations that need the products they store (and vice versa). Autonomous aircraft towing vehicles will soon tow aircraft all the way from the runways to their gates (and vice versa), thereby reducing pollution, energy consumption, congestion, and human workload. Path planning for these robots is difficult, yet one must find high-quality collision-free paths for them in real-time. Shorter paths result in higher throughput or lower operating costs (since fewer robots are required). Prof. Koenig will discuss different versions of such multi-robot path-planning problems, algorithms for solving them, and their applications.

Prof. Koenig will also discuss a planning architecture that combines ideas from artificial intelligence and robotics. It makes use of a simple temporal network to post-process the output of a multi-robot path-planning algorithm in polynomial time to create a plan-execution schedule for robots that provides a guaranteed safety distance between them and exploits slack to absorb imperfect plan executions and avoid time-intensive re-planning in many cases. This talk is suitable for audiences with some computer science background. A background in artificial intelligence or robotics is not necessary.

Speaker Bio

Sven Koenig is a professor in computer science at the University of Southern California. Most of his research centers around techniques for decision making (planning and learning) that enable single situated agents (such as robots or decision-support systems) and teams of agents to act intelligently in their environments and exhibit goal-directed behavior in real-time, even if they have only incomplete knowledge of their environment, imperfect abilities to manipulate it, limited or noisy perception or insufficient reasoning speed. Additional information about Sven can be found on his webpages: idm-lab.org

Co-sponsors

This event is co-sponsored by the IEEE Orange County Computer Society.

Venue & Parking

This meeting be held at the Knobbe Martens' Irvine offices. Parking validation will be provided to attendees.