AAAI 2010 Workshop on Bridging The Gap Between Task And Motion Planning (BTAMP)
This is the second installment of this workshop at ICAPS 2009.
Workshop schedule is posted here.
All the papers should be no longer than 8 pages and formatted according to the AAAI format. As mentioned below, we also encourage short 2-3 page papers. The submission is *not* double-blinded. Therefore, please include the authors' names and affiliations on the first page of the paper. Please also indicate if the paper has already been published or will be published elsewhere. The papers are not archived, therefore it is acceptable to submit a paper that was or will be published elsewhere. To submit a paper, please follow this link:
PAPER SUBMISSION SITE
The workshop will begin at 9AM on July 11.
The workshop will be part of AAAI 2010 conference in Atlanta, USA.
It will be held in Tower Room 1202 (8th floor) in Westin.
- April 10: Submission deadline
- April 30: Notification of accept/reject for all submissions
- May 4: Camera-ready Copy Due
- Maxim Likhachev, University of Pennsylvania
- Bhaskara Marthi, Willow Garage Inc.
- Conor McGann, Wizbots
- David E. Smith, NASA Ames Research Center
It has been a longstanding goal of AI and robotics to build autonomous
vehicles that can move around on land, in the sea, and in the air
interacting with the physical world to achieve their goals. In recent
years, the increasing availability of capable mobile platforms,
manipulators, and high-precision sensors, coupled with advances in
perception, localization and planning algorithms, have brought us much
closer to achieving this goal. Robotic platforms have demonstrated
autonomous navigation in large complex spaces for prolonged periods of
time while robotic manipulators have demonstrated autonomous manipulation
of objects in cluttered spaces. However, effective, task-oriented motion
inevitably requires a principled approach to integrating task planning and
motion planning that is capable of operating in real-time in dynamic and
complex environments. Historically, general but discrete task planning has
been considered extensively in the AI community while specialized
continuous motion planning has been the focus in robotics. The goal of
this workshop is to investigate principled approaches to bridging the gap
between these two levels of planning, to foster the exchange of ideas
between the two communities of researchers, and to work towards developing
common benchmarks and an infrastructure for evaluating the approaches to
With this goal in mind, we solicit two classes of contributions on the
topics that include (but are not limited to) the following:
- Combining kinematic and dynamic constraints with reasoning about tasks, time, and resources.
- Integration of discrete and continuous problem representations.
- Hierarchical/multi-level planning architectures.
- Incremental techniques for online planning.
- Techniques for integrating task and manipulation planning.
- Planning for compliant motion and motion primitives.
- Planning for cooperative manipulation with multiple effectors.
- Whole body control.
- Interfaces between motion and task planners
Submissions devoted to approaches to benchmarking:
- Benchmark domains of interest
- Simulation frameworks, or software libraries related to planning
- An infrastructure for evaluating approaches
The submissions may be up to eight pages in length, and should follow AAAI
formatting guidelines. We also welcome shorter (as short as two-page)
submissions such as position papers, papers discussing/proposing common
benchmarks, and papers discussing/proposing infrastructure for evaluating
approaches to solving problems that combine task and motion planning.
To submit, please follow this link PAPER SUBMISSION SITE.
- Michael Beetz
- Wolfram Burgard
- Maria Fox
- Kaijen Hsiao
- Felix Ingrand
- Lydia Kavraki
- Sven Koenig
- Hadas Kress-Gazit
- David Kourtenkamp
- Jean-Claude Latombe
- Tomas Lozano Perez
- Roland Phillipsen
- Reid Simmons