IJCAI%20Introduction

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 3-400 AI Lab, NE43-838
• Tuesday 400-500 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
NameThomas 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.