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

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) Due Wednesday, Oct 3 rd 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.

Problem Set 3 (Part B) Due Wednesday, Oct 3 rd 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, NE Tuesday: 4:00-5:00 Space Systems Lab,

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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