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Research at the Boundary of Robotics and AI: Challenge Problems Prof: Peter Stone Department of Computer Science The University of Texas at Austin Features of Challenges Good performance metrics Peter Stone Features of Challenges Good


  1. Research at the Boundary of Robotics and AI: Challenge Problems Prof: Peter Stone Department of Computer Science The University of Texas at Austin

  2. Features of Challenges • Good performance metrics Peter Stone

  3. Features of Challenges • Good performance metrics • Lead to data sets Peter Stone

  4. Features of Challenges • Good performance metrics • Lead to data sets − Tension between data sets and embodiment/interactivity Peter Stone

  5. Features of Challenges • Good performance metrics • Lead to data sets − Tension between data sets and embodiment/interactivity • Open world aspect, real-time aspect Peter Stone

  6. Features of Challenges • Good performance metrics • Lead to data sets − Tension between data sets and embodiment/interactivity • Open world aspect, real-time aspect • Standard platform, software Peter Stone

  7. Features of Challenges • Good performance metrics • Lead to data sets − Tension between data sets and embodiment/interactivity • Open world aspect, real-time aspect • Standard platform, software − Build on platforms and domains that are already working robustly Peter Stone

  8. Features of Challenges • Good performance metrics • Lead to data sets − Tension between data sets and embodiment/interactivity • Open world aspect, real-time aspect • Standard platform, software − Build on platforms and domains that are already working robustly − Also can stick us in local minimum Peter Stone

  9. Features of Challenges • Good performance metrics • Lead to data sets − Tension between data sets and embodiment/interactivity • Open world aspect, real-time aspect • Standard platform, software − Build on platforms and domains that are already working robustly − Also can stick us in local minimum • Something that people actually want done Peter Stone

  10. Features of Challenges • Good performance metrics • Lead to data sets − Tension between data sets and embodiment/interactivity • Open world aspect, real-time aspect • Standard platform, software − Build on platforms and domains that are already working robustly − Also can stick us in local minimum • Something that people actually want done • Learning Peter Stone

  11. Features of Challenges • Good performance metrics • Lead to data sets − Tension between data sets and embodiment/interactivity • Open world aspect, real-time aspect • Standard platform, software − Build on platforms and domains that are already working robustly − Also can stick us in local minimum • Something that people actually want done • Learning − Commonsense knowledge from humans and/or big data Peter Stone

  12. Features of Challenges • Good performance metrics • Lead to data sets − Tension between data sets and embodiment/interactivity • Open world aspect, real-time aspect • Standard platform, software − Build on platforms and domains that are already working robustly − Also can stick us in local minimum • Something that people actually want done • Learning − Commonsense knowledge from humans and/or big data • Detect and adjust to human preferences Peter Stone

  13. Features of Challenges • Good performance metrics • Lead to data sets − Tension between data sets and embodiment/interactivity • Open world aspect, real-time aspect • Standard platform, software − Build on platforms and domains that are already working robustly − Also can stick us in local minimum • Something that people actually want done • Learning − Commonsense knowledge from humans and/or big data • Detect and adjust to human preferences • Push state of the arts both in robotics and in AI Peter Stone

  14. Challenges • Robot scavenger hunt (Amazing Race) Peter Stone

  15. Challenges • Robot scavenger hunt (Amazing Race) • Human-robot interaction for assembly Peter Stone

  16. Challenges • Robot scavenger hunt (Amazing Race) • Human-robot interaction for assembly − Intent/activity recognition Peter Stone

  17. Challenges • Robot scavenger hunt (Amazing Race) • Human-robot interaction for assembly − Intent/activity recognition • RoboCup with 4 robots and 1 person Peter Stone

  18. Challenges • Robot scavenger hunt (Amazing Race) • Human-robot interaction for assembly − Intent/activity recognition • RoboCup with 4 robots and 1 person • Adjustable autonomy wheelchair Peter Stone

  19. Challenges • Robot scavenger hunt (Amazing Race) • Human-robot interaction for assembly − Intent/activity recognition • RoboCup with 4 robots and 1 person • Adjustable autonomy wheelchair • Device disassembly Peter Stone

  20. Challenges • Robot scavenger hunt (Amazing Race) • Human-robot interaction for assembly − Intent/activity recognition • RoboCup with 4 robots and 1 person • Adjustable autonomy wheelchair • Device disassembly • Kitchen and household tasks Peter Stone

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