Robotics and Artificial Intelligence are closely related areas though their research interests and topics diverted in past. Recently, the progress in both areas brings robotics and artificial intelligence together again and higher-level deliberative functions such as action planning are being integrated into usually reactive robotics systems to increase their autonomy as well as to simplify their control. The special track addresses research results on the border between robotics (and general intelligent agents) and AI techniques with the aim to bridge the enlarging gap between the areas.

The goal of the track is bringing researchers for now diverted areas of robotics, intelligent agents, and artificial intelligence back together to work on novel integrated approaches for development of autonomous systems, both physical and virtual.

This track is intended to AI community that applies own results in real environments using physical (robots) and virtual agents as well as to researchers in related areas namely robotics, computer games, and intelligent agents to present own challenges and solutions and to grasp novel AI techniques applicable in real-life problems.

The Florida AI Research Society (FLAIRS) hosts the conference in cooperation with the American Association for Artificial Intelligence (AAAI) since 1988 so FLAIRS is one of the oldest AI conferences. The 29-th conference is organized at Key Largo, Florida, USA in May 16-18, 2016.

Papers and contributions are encouraged for any work relating to increasing autonomy and reasoning capabilities of agents either physical (robots) or virtual (such as game characters). We in particular encourage submissions that are integrating approaches and methods from different areas and contribute to bridging more research areas such as robotics, computer games, and intelligent agents. Topics of interest may include (but are in no way limited to):

Interested authors should format their papers according to AAAI formatting guidelines. The papers should be original work (i.e., not submitted, in submission, or submitted to another conference while in review). Papers should not exceed 6 pages (4 pages for a poster) and are due by November 16, 2015. For FLAIRS-29, the 2016 conference, the reviewing is a double blind process. Please do not disclose your name and affiliation in the paper. Papers must be submitted as PDF through the EasyChair conference system, which can also be accessed through the main conference web site. Note: do not use a fake name for your EasyChair login - your EasyChair account information is hidden from reviewers. Authors should indicate the Intelligent Autonomous Systems special track for submissions. The proceedings of FLAIRS will be published by the AAAI. Authors of accepted papers will be required to sign a form transferring copyright of their contribution to AAAI. FLAIRS requires that there be at least one full author registration per paper.

Paper submission deadline: 16th November 2015
Notification of paper decisions: 18th January 2016
AUTHOR registration: 15th February, 2016
Final version of papers due: 22nd February 2016

All dates are assumed as midnight HST.

• Learning Continuous State-Action Models for Humanoid Robots
  Astrid Jackson and Gita Sukthankar
• Selecting Vantage Points for an Autonomous Quadcopter Videographer
  Rey Coaguila, Gita Sukthankar and Rahul Sukthankar
  
• Reward from Demonstration in Interactive Reinforcement Learning
  Syed Ali Raza, Benjamin Johnston and Mary-Anne Williams
• Trajectory adaptation of robot arms for head-pose dependent assistive tasks
  Rouhollah Rahmatizadeh, Pooya Abolghasemi, Amirhossein Jabalameli, Aman Behal and Ladislau Bölöni
  
• Controlling the movement of robotic bodyguards for maximal physical protection
  Taranjeet Singh Bhatia, Gurkan Solmaz, Damla Turgut and Ladislau Bölöni
  
• Multiagent-Based Simulation of the Human Immune System: A study of the immune response and antimicrobial therapy in post-streptococcal glomerulonephritis
  Carlos Antonio Bastos, Alcione Oliveira, Maurilio Possi, Rodrigo Siqueira-Batista, Andreia Gomes, Luiz Alberto Santana and Fabio R Cerqueira
  
• Multi-Agent Area Coverage Control using Reinforcement Learning
  Adekunle Adepegba, Md Suruz Miah and Davide Spinello
• Building redundancy in multi-agent systems using probabilistic action
  Annie Wu, Paul Wiegand and Ramya Pradhan
• Feasibility Study of Multi-Agent Simulation at cellular level exclusively on GPU
  Alcione Oliveira and Paul Richmond