[robotics-worldwide] [meetings] CFP - Deadline Extension - IROS 2015 Workshop on Task Planning for Intelligent Robots in Service and Manufacturing

Andre Gaschler gaschler at cs.tum.edu
Mon Jul 6 04:59:39 PDT 2015


(Apologies for multiple copies)

A new workshop paper submission deadline has been fixed.

*** SUBMISSION DEADLINE EXTENSION: Friday, July 17th, 2015 ***

Call for Papers: Workshop on Task Planning for Intelligent Robots in
Service and Manufacturing
Full-day workshop at 2015 IEEE/RSJ International Conference on
Intelligent Robots and Systems (IROS)
October 2nd 2015 in Hamburg, Germany

Important Dates:
 *17 July*: Workshop paper submission deadline (extended!)
 7 August: Workshop paper acceptance notifications
 2 October: Workshop at IROS in Hamburg, Germany

Workshop Website:
Please see http://www6.in.tum.de/Main/WorkshopIros2015TaskPlanning for
up-to-date information.

Submissions:
We invite workshop papers (up to six pages) and live software system
demonstrations.
Contributions should apply task planning and artificial intelligence to
intelligent robot systems. Especially welcome are works with an
application to service and manufacturing tasks, and works that integrate
approaches from the two fields AI and robotics. The topics of interest
include:
 - Combined task and motion planning
 - Artificial intelligence planning for service and manufacturing robots
 - Motion and manipulation planning with symbolic tasks
 - Human-aware planning for service tasks
 - Formal methods to robot task planning
 - Autonomous robotic service and manufacturing systems in the real  world

Workshop papers can be submitted on the website
http://easychair.org/conferences/?conf=taskplan2015iros . A submission
should be no longer than six pages, formatted following the IROS format,
and uploaded as PDF files (max. 5 MB) until the workshop paper deadline.
All papers will go through a single-blind peer review with at least two
reviewers.

Software system demonstrations can be proposed informally by email to
Andre Gaschler (lastname (at) cs.tum.edu), including a description (no
more than 200 words) and a screenshot, until the end of August. Accepted
software demos will be part of an interactive session, where presenters
can show their most recent developments live on screen.

Objective:
One of the main motivations for robot task planning is to allow
intelligent robots to solve complex, real-world tasks in service and
industry. While many of the components needed for building such a system
have each made substantial progress in recent years---symbolic
reasoning, path planning, grasp planning, and trajectory
generation---and powerful algorithms for solving problems in individual
areas are available, the general problem of robot task planning
nevertheless remains a challenge. One reason for this difficulty is that
realistic task planning problems require a hybrid search in the combined
symbolic action and continuous motion spaces. Only recently, has this
problem started to receive substantial attention in the two distinct
communities of symbolic AI planning and robot motion planning, which
have started working on hybrid approaches aimed at solving hard,
real-world tasks in service and manufacturing robotics. This workshop
invites participants from symbolic planning, robot motion planning, and
related fields of research to share their ideas and findings, and to
foster cooperation towards the common scientific goal of intelligent
robot systems.

Invited Speakers:
- Tomás Lozano-Pérez, Learning & Intelligent Systems Group,
Massachusetts Institute of Technology, USA
- Siddharth Srivastava, United Technologies Research Center, Berkeley, USA
- Gerhard Lakemeyer, RWTH Aachen University, Germany
- Volker Krüger, Aalborg University, Denmark
- Dinesh Manocha, University of N. Carolina, Chapel Hill, USA

Workshop Organizers:
- Andre Gaschler, fortiss An-Institut Technische Universität München
- Ron Petrick, School of Informatics, University of Edinburgh
- Esra Erdem, Computer Science and Engineering, Sabancı University



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