'Robot soccer' presentation slideshows

Multi-Robot Systems

2.04k views • 114 slides

If you have any questions please feel free to interrupt me

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Open only for Humans; Droids and Robots should go for CSE 462 next door ;-)

Open only for Humans; Droids and Robots should go for CSE 462 next door ;-) . CSE 471/598. Intro to AI. General Information. Instructor: Subbarao Kambhampati ( Rao ) Office hours :, T/ Th 1-2pm By 560 TA(s): Will Cushing (office hours TBD) Kartik Talamadupula Tuan Nguyen

669 views • 55 slides

Designing Constraint-Based Agents Alan Mackworth

Designing Constraint-Based Agents Alan Mackworth. Four Perspectives on Designing Constraint-Based Agents. The evolution of the pivotal role of constraints in intelligent systems: from static to dynamic constraints

643 views • 53 slides

516 views • 38 slides

Reinforcement Learning for Complex System Management

Reinforcement Learning for Complex System Management. David Wingate wingated@mit.edu. Complex Systems. Science and engineering will increasingly turn to machine learning to cope with increasingly complex data and systems.

532 views • 36 slides

Intelligent Soccer Team

Intelligent Soccer Team. Gustavo Armagno Facundo Benavides Claudia Rostagnol www.fing.edu.uy/~pgfira. Agenda. Introduction Who we are Background RoboSoccer Motivation Leagues Our Project Research Future steps and expectations. FIbRA | Brazil Agents School | 2005 2. Agenda.

303 views • 17 slides

Why Robots Communicate

Why Robots Communicate. Manuela Veloso Somchaya Liemhetcharat. Sensing, Actions, and Communication. Robots make decisions based on their sensing : without coordination, two robots could decide conflicting actions based on their sensing, e.g., vision.

352 views • 16 slides

Market-Driven Multi-Agent Collaboration in Robot Soccer Domain

Market-Driven Multi-Agent Collaboration in Robot Soccer Domain Presented by Bar?? Kurt Outline What is a Market-Driven Strategy? How it works? Different Implementations What is a Market-Driven Strategy? Ap pl ication of the basic properties of free market economy to increase the benefit

469 views • 12 slides

CMRoboBits: Creating an Intelligent AIBO Robot

CMRoboBits: Creating an Intelligent AIBO Robot. Instructors: Prof. Manuela Veloso & Scott Lenser TAs: Douglas Vail & Nick Aiwazian Further Support: Dr. Paul Rybski, Sonia Chernova 15-491, Fall 2003 http://www.andrew.cmu.edu/course/15-491 Computer Science Department Carnegie Mellon.

699 views • 12 slides

Improved Goalie Strategy with the Aldebaran Nao humanoid Robots*

Improved Goalie Strategy with the Aldebaran Nao humanoid Robots*. *This research is supported by NSF Grant No. CNS 1005212. Opinions, findings, conclusions, or recommendations expressed in this paper are those of the author(s) and do not necessarily reflect the views of NSF.

219 views • 9 slides

i Robot Soccer

i Robot Soccer. Taiki Sugawara. M1 Taiki Sugawara. iRobot soccer. AR ToolKit iRobot position iRobot orientation. M1 Taiki Sugawara. iRobot soccer. AR ToolKit iRobot position iRobot orientation. ????. ??? ???????. ????????. ??????. Detect Red Laser Pointer.

194 views • 7 slides

What is RoboCup?

What is RoboCup?.

110 views • 1 slides

Achievements

(Fuzzy Logic Inferencing Pong). Objectives. Methods. Results. Create Simulation Observe Human Collaboration: Tennis Matches Create Fuzzy Inference System Models Human-Like Behavior Beta Testing Compile Results. Create a doubles PONG game with: Advanced ball control

141 views • 1 slides