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Planning Your Advanced Lecture

Planning Your Advanced Lecture. Brian C. Williams 16.412J/6.834J Sept 26 th , 2001. 1. Outline. Guidelines for completing Problem Set 3 and for your Advanced Lecture proposal. Interests each of you expressed for your Project and Advanced Lecture. Problem Set 3 (Part A).

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Planning Your Advanced Lecture

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  1. Planning Your Advanced Lecture Brian C. Williams 16.412J/6.834J Sept 26th, 2001 1

  2. Outline • Guidelines for completing Problem Set 3 and for your Advanced Lecture proposal. • Interests each of you expressed for your Project and Advanced Lecture.

  3. Problem Set 3 (Part A) Due Wednesday, Oct 3rd in class Part A: Refine Problem set 3 slide presentation: • Pass your PS 3 slides to two other class members. • Provide detailed feedback by Monday. • Write at least 3 positive things. • Write at least 3 areas to be improved. • Be as specific and constructive as possible. • For Wednesday write plan to improve slides AND make these improvements to your original slides. • Turn in first and second round of slides on Wednesday.

  4. Problem Set 3 (Part B) Due Wednesday, Oct 3rd in class Write proposal for 45 minute advanced lecture, tutorial article and demo. Include the following: • Team members and division of labor. • One to two focus paper(s). • Abstract for lecture you will give. • Outline of tutorial article • Background references for tutorial article • Plan for demonstration (only if your in a team of 3). Office Hrs to discuss topics: • Thursday: 3-4:00 AI Lab, NE43-838 • Tuesday: 4:00-5:00 Space Systems Lab, 37-381

  5. Outline • Guidelines for completing Problem Set 3 and for your Advanced Lecture proposal. • Interests each of you expressed for your Project and Advanced Lecture.

  6. Name: Josh McConnell • Project: Coordination between objects to achieve an objective. Two satellites viewing a common target. • Topic: Temporal planning

  7. Name: Brian Whitman • Project: Learning by human example. • Topic: Machine learning for agents, dynamic programming, support vector machines.

  8. Name: Jose Esparza • Project: Land rover performs exploration. • Topic: Reinforcement Learning.

  9. Name: Chris Osborn • Project: Air Traffic Control, cooperative path planning, extension to Probabilistic Road Maps. • Topic: Improvisation, making novel use of the environment.

  10. Name: Paul Elliott • Project: Knowledge Compilation • Topic: Navigation, path planning

  11. Name: Raj Krishnan • Project: Intelligent Highways • Topic: First Order Logic reasoning

  12. Name: Nathan Ickes • Project: Power aware network algorithms • Topic: Hybrid Systems: Optimal policy generation and path planning.

  13. Name: Stan • Project: Motion planning and terrain exploration. • Topic: Motion planning and cooperative map learning.

  14. Name: Erica Peterson • Project: Fault diagnosis on spacecraft that can learn from astronaut mistakes. • Topic: Fault diagnostic methods

  15. Name: Nick Homer • Project: Cooperative Planning and Mapping • Topic: Communication between robots

  16. Name: Paula Nasser • Project: Campus tour-guide • Topic: Determining location

  17. Name: Richard Camilli (Listener) • Project: Adaptive mapping of chemical environments in under water vehicles. • Topic: scheduling, logical reasoning, concurrent mapping.

  18. Name:Thomas Kotwal (listener) • Project: Cooperative task planning, how do agents allocate themselves to accomplish a task? • Topic: Cooperative task planning

  19. Name: Emily Craparo • Project: • Topic: multi-agent cooperation and exploration.

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