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Seminars in Artificial Intelligence and Robotics 2016/17
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Some students have reported an overlap between lectures on Wednesdays. We propose to move the Wednesday's lecture to Thursday, in the time slot 17:30 - 19 (starting from March 9)
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Please submit here the final version of your presentation slides (ONLY IN PDF FORMAT)
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Please submit here the final version of your poster (size A0, ONLY IN PDF FORMAT)
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Dear all,
I'm sharing a google doc where I collected all the information regarding the schedule of the poster session of Section 2.
From it I can confirm that there will be two sections, the first in July 4 and the second in July 14 (please see the table for the day assignment).
However, from the document it's appeared that there are students who have not selected both a paper and a date (highlighted in orange), students who are not available (from the doodle pool) in the above dates (highlighted in yellow) and, finally, students who can not attend and who have to send me the poster together with a brief report (highlighted in green).
Actions to be performed on the document:
- Yellow -> please change the dates choosing among the two above. If it is not possible then consider the option of sending the poster and the brief report. In the last case, please add a comment in the corresponding column of the table (as for those in green)
- Orange -> please select the paper as well as choose the date. If not available during the selected dates, please consider the option of sending the poster and the brief report as above.
- Green -> please send me the poster together with the brief report before July 14.
Finally, for the session of July 4, posters have to be sent before July 2. For the session of July 14, posters have to be sent before July 11.
Best
MG
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Overview
This seminar series includes two consecutive, independent sections, plus two 3-days workshops.
For each section, the first lectures will include a brief introduction by the teacher about the research area, with an overview of the the state-of-the-art and the current trends.
In the remaining lectures of each section, two or three research papers for each lecture will be presented and discussed by the students.
During the last lecture of each section, it will be held a poster session where each student will present a paper through a poster, interacting with the audience about the paper contributions, methods, etc…
In the presentation of the paper, students should cover:
- Aims and objective of the paper
- Some related work
- The main contributions of the paper
- Methods
- Presented experiments
- ...
In the discussion of the paper students should critically focus on:
- Impact of the presented paper, i.e. relevance and applicability
- Novelty (is it a new idea? is the approach novel?)
- Soundness (are the results convincing? is the methodology sound?)
- Main limitations
- ...
Each paper will be presented by a student and discussed by another student.
Some questions will be asked by the teacher and possibly by the students during the presentation and/or the discussion.
Lectures Schedule
- Wednesday h. 10-12 room A7
- Thursday h. 17:30 - 19 room A7
- Friday h. 12:30-14 room A6
Paper Selection
Papers are assigned on a first come first serve basis. The papers list will be published in the course Moodle page after the introductory lectures. You can only pick one paper of the ones still remaining.
Evaluation
To pass the exam students should:
- Attend at least two lectures at your choice every week, including workshops (one absence for each section is tolerated)
- For each section:
(a) Present 1 paper (the presentation slide should be sent in advance, at least two days before the presentation)
(b) Discuss 1 paper
(c) Prepare and present a poster about a paper
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Teacher: Alberto Pretto
Dates: Feb. 21 - Mar. 31 (TBD)
Brief course description: In this seminar series we will cover different sub-areas of robot vision. Topics addressed in the seminars include low-level vision, 3D reconstruction from images, vision based ego-motion estimation, visual servoing, object detection and localization and semantic scene segmentation. The objective of the seminars is to provide an overview of the recent trend in each covered topic.
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Teacher: Mario Gianni, ALCOR, Vision, Perception and Learning Robotics Laboratory
Mail: gianni@diag.uniroma1.it
Dates:
- April 26 - April 28 - Introduction and motivations, state-of-the-art, current trends (also from different research fields) and new research directions.
- May 17 - End of the course - Presentations including poster session.
- April 26 - April 28 - Introduction and motivations, state-of-the-art, current trends (also from different research fields) and new research directions.
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Teacher: Prof. Sean Luke, Department of Computer Science, George Mason University
Dates: Feb. 24 - Mar. 4
Brief course description: Prof. Luke will introduce basic concepts and issues in multiagent systems, with an emphasis on scenarios with large numbers of agents (swarms). His lecture will introduce multiagent systems and swarms swarms, and also cover topics in agent-based modeling and simulation, multirobotics, swarm robotics, and multiagent learning.
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The slides discuss a paper by Ermo Wei and Sean Luke, which is available here:
http://jmlr.org/papers/volume17/15-417/15-417.pdf
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Related papers
(I put an asterisk (*) next to the more important ones, but they're all easy to read and fun [honestly] and on lots of different topics we'll be covering.)
BOUNTY HUNTING
*https://cs.gmu.edu/~sean/papers/bounty.pdf
https://cs.gmu.edu/~sean/papers/bounty16.pdf
ABM [and MASON] SIMULATION
https://cs.gmu.edu/~sean/papers/simulation.pdf
[kind of old]
MASON's website is http://cs.gmu.edu/~eclab/projects/mason/
Here is a group of social scientists I work with who do extensive modeling with MASON and other multiagent simulation toolkits:
https://socialcomplexity.gmu.edu/publications-2/
PHEROMONE FORAGING
[In order of publication -- it makes sense to read them in this order. They're all fun]
*https://cs.gmu.edu/~sean/papers/panait04pheromone.pdf
*https://cs.gmu.edu/~sean/papers/aamas10-beacons.pdf
*https://cs.gmu.edu/~sean/papers/beacons14.pdf
*https://cs.gmu.edu/~sean/papers/alife16-geometers.pdf
MULTIAGENT LEARNING FROM DEMONSTRATION
[the first one is single-agent, and is with Vittorio Ziparo, formerly of U Rome La Sapienza]
*https://cs.gmu.edu/~sean/papers/aamas10-learntobehave.pdf
https://cs.gmu.edu/~sean/papers/humanoids10hierarchical.pdf
*https://cs.gmu.edu/~sean/papers/ijcai11.pdf
https://cs.gmu.edu/~sean/papers/aamas12.pdf
https://cs.gmu.edu/~sean/papers/robocup12training.pdf
https://cs.gmu.edu/~sean/papers/ijcai13unlearning.pdf
* https://cs.gmu.edu/~sean/papers/robocup14.pdf
https://cs.gmu.edu/~sean/papers/arms15.pdf
SOME OTHER FUN TOPICS
https://cs.gmu.edu/~sean/papers/luke05tunable.pdf
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Teacher: Rishelle Wimmer, Salzburg University of Applied Sciences
Dates: TBD
Brief course description: In this three-day English language workshop (9 hours) students will learn formal elements of successful writing used to document research and present persuasive arguments in scientific literature. The workshop provides instruction and training in two fundamental aspects of the scientific writing process: structural organization and writing style. It is designed for those students currently writing their master’s thesis or dissertation. Topics covered include writing exposés, abstracts, the research thesis, and scientific articles. In addition, the structure of sentences, paragraphs and logical argumentation is addressed.