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CS344M Autonomous Multiagent Systems Patrick MacAlpine Department - PowerPoint PPT Presentation

CS344M Autonomous Multiagent Systems Patrick MacAlpine Department of Computer Science The University of Texas at Austin Good Afternoon, Colleagues Are there any questions? Patrick MacAlpine Logistics Surveys due Wednesday at 9pm Patrick


  1. CS344M Autonomous Multiagent Systems Patrick MacAlpine Department of Computer Science The University of Texas at Austin

  2. Good Afternoon, Colleagues Are there any questions? Patrick MacAlpine

  3. Logistics • Surveys due Wednesday at 9pm Patrick MacAlpine

  4. Logistics • Surveys due Wednesday at 9pm • Next week’s readings posted Patrick MacAlpine

  5. Logistics • Surveys due Wednesday at 9pm • Next week’s readings posted • UT Robotics seminar talk on Wednesday at 11, CPE 2.206 – Scott Niekum — personal and home robotics Patrick MacAlpine

  6. Kiva Systems ( Amazon Robotics) • Video (and RoboCup connection) Patrick MacAlpine

  7. Kiva Systems ( Amazon Robotics) • Video (and RoboCup connection) • Advantages of system • Lower cost Patrick MacAlpine

  8. Kiva Systems ( Amazon Robotics) • Video (and RoboCup connection) • Advantages of system • Lower cost • Less energy Patrick MacAlpine

  9. Kiva Systems ( Amazon Robotics) • Video (and RoboCup connection) • Advantages of system • Lower cost • Less energy • Lower error rate Patrick MacAlpine

  10. Kiva Systems ( Amazon Robotics) • Video (and RoboCup connection) • Advantages of system • Lower cost • Less energy • Lower error rate • Less space Patrick MacAlpine

  11. Kiva Systems ( Amazon Robotics) • Video (and RoboCup connection) • Advantages of system • Lower cost • Less energy • Lower error rate • Less space • Robust to single robot failure Patrick MacAlpine

  12. Kiva Systems ( Amazon Robotics) • Video (and RoboCup connection) • Advantages of system • Lower cost • Less energy • Lower error rate • Less space • Robust to single robot failure • Faster/better throughput Patrick MacAlpine

  13. Kiva Systems ( Amazon Robotics) • Video (and RoboCup connection) • Advantages of system • Lower cost • Less energy • Lower error rate • Less space • Robust to single robot failure • Faster/better throughput • Faster to train pickers Patrick MacAlpine

  14. Kiva Systems ( Amazon Robotics) • Video (and RoboCup connection) • Advantages of system • Lower cost • Less energy • Lower error rate • Less space • Robust to single robot failure • Faster/better throughput • Faster to train pickers • Safer Patrick MacAlpine

  15. Kiva Systems ( Amazon Robotics) • Video (and RoboCup connection) • Advantages of system • Lower cost • Less energy • Lower error rate • Less space • Robust to single robot failure • Faster/better throughput • Faster to train pickers • Safer • Flexible/adaptable Patrick MacAlpine

  16. Kiva Systems ( Amazon Robotics) • Video (and RoboCup connection) • Advantages of system • Lower cost • Less energy • Lower error rate • Less space • Robust to single robot failure • Faster/better throughput • Faster to train pickers • Safer • Flexible/adaptable • Scaleable and Expandable Patrick MacAlpine

  17. Kiva Systems ( Amazon Robotics) • Video (and RoboCup connection) • Advantages of system • Lower cost • Less energy • Lower error rate • Less space • Robust to single robot failure • Faster/better throughput • Faster to train pickers • Safer • Flexible/adaptable • Scaleable and Expandable • Quick to deploy Patrick MacAlpine

  18. Kiva Systems ( Amazon Robotics) • Video (and RoboCup connection) • Advantages of system • Lower cost • Less energy • Lower error rate • Less space • Robust to single robot failure • Faster/better throughput • Faster to train pickers • Safer • Flexible/adaptable • Scaleable and Expandable • Quick to deploy • Can reorganize self Patrick MacAlpine

  19. Discussion Questions • Is Job Manager (JM) a single point of failure? Patrick MacAlpine

  20. Discussion Questions • Is Job Manager (JM) a single point of failure? • How are collisions avoided with A*? Patrick MacAlpine

  21. Discussion Questions • Is Job Manager (JM) a single point of failure? • How are collisions avoided with A*? • If Drive Unit does path planning, how does the JM know how to allocate resources? Patrick MacAlpine

  22. Discussion Questions • Is Job Manager (JM) a single point of failure? • How are collisions avoided with A*? • If Drive Unit does path planning, how does the JM know how to allocate resources? • How do they determine the ratio of pods to drive units to human pickers? Patrick MacAlpine

  23. Discussion Questions • Is Job Manager (JM) a single point of failure? • How are collisions avoided with A*? • If Drive Unit does path planning, how does the JM know how to allocate resources? • How do they determine the ratio of pods to drive units to human pickers? • What are the “over 100 message types”? Patrick MacAlpine

  24. Discussion Questions • Is Job Manager (JM) a single point of failure? • How are collisions avoided with A*? • If Drive Unit does path planning, how does the JM know how to allocate resources? • How do they determine the ratio of pods to drive units to human pickers? • What are the “over 100 message types”? • Could you outperform the warehouse system with a swarm? • Improvements using machine learning? • Other applications of the system? Patrick MacAlpine

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