Apologies for multiple copies
We are glad to invite you to attend the 10th ICAPS workshop on Planning
and Robotics (PlanRob 2022).
The event will be on the 16th of June as an online virtual event and the
program is full of interesting papers.
The workshop program is also enriched by a keynote talk of Maxim
Likhachev (Carnegie Mellon University) on "Learning in Search-based
Planning for Robotics"
(see below for details).
You may find more details about the program on the workshop web page and
just below.
Thanks for your attention
Best,
Iman Awaad, Alberto Finzi, AndreA Orlandini
PlanRob 2022 Chairs
** CALL FOR PARTICIPATION **
10th ICAPS Workshop on Planning and Robotics
(PlanRob‚ 2022)
http://icaps22.icaps-conference.org/workshops/PlanRob/
ICAPS 2022 Workshop
(Virtually in) Singapore
June 16 20222
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Program (Schedule in UTC)
***************
From To Title Authors
12.00 12.10 PlanRob Intro Iman Awaad, Alberto Finzi, AndreA Orlandini
12.10 12.30 Time-Bounded Large-Scale Mission Planning Under
Uncertainty for UV Disinfection Lara Brudermüller, Raunak
Bhattacharyya, Bruno Lacerda and Nick Hawes
12.30 12.50 Probabilistic Planning for AUV Data Harvesting from Smart
Underwater Sensor Networks Matthew Budd, Georgios Salavasidis, Izzat
Kamarudzaman, Catherine Harris, Alexander Phillips, Paul Duckworth, Nick
Hawes and Bruno Lacerda.
12.50 13.10 Towards Using Promises for Multi-Agent Cooperation in Goal
Reasoning Daniel Swoboda, Till Hofmann, Tarik Viehmann and Gerhard
Lakemeyer.
13.10 13.30 Improving Task Planning Knowledge Robustness for
Autonomous Robots Hadeel Jazzaa, Thomas McCluskey and David Peebles.
13.30 13.50 Towards an Easy Use Case Implementation in Social Robotics
Alba Gragera, Carmen Díaz de Mera, Alberto Tudela, Alejandro Cruces,
Fernando Fernández and Ángel García-Olaya.
13.50 14.10 Coffee Break
14.10 15.10 Learning in Search-based Planning for Robotics Maxim
Likhachev <http://www.cs.cmu.edu/~maxim/>
15.10 15.30 Understanding Natural Language in Context Avichai Levy
and Erez Karpas.
15.30 15.50 Coffee Break
15.50 16.10 Analysis and Utilisation of Conflicts in Multi-Agent Path
Finding Avgi Kollakidou and Leon Bodenhagen.
16.10 16.30 Learning Path Constraints for UAV Autonomous Navigation
under Uncertain GNSS Availability Marion Zaninotti, Charles Lesire,
Yoko Watanabe and Caroline P. Carvalho Chanel.
16.30 16.50 Conflict-Based Multi-Robot Multi-Goal Task and Motion
Planning Junho Lee and Derek Long.
16.50 17.10 Towards Adversarial Geometric Planning Stefan Edelkamp
17.10 17.30 Asynchronous Motion Planning and Execution for a Dual-Arm
Robot Charles Meehan, Mark Roberts and Laura Hiatt
17.30 18.00 Panel Discussion
**
Keynote Talk byMaximi Likhachev (http://www.cs.cmu.edu/~maxim/)
Title: Learning in Search-based Planning for Robotics
Abstract: Search-based Planning refers to planning by
constructing a graph from systematic discretization of the
state- and action-space of a robot and then employing a
heuristic search to find a path from the start to the goal
vertex in this graph. In this talk, I will first quickly
overview strengths and challenges of this paradigm and briefly
mention some of the work my group has done towards addressing
these challenges. I will then focus on some of the work my
group has recently done on integrating learning into
Search-based Planning. In particular, I will present a) a
novel class of planning algorithms called Constant-time Motion
Planning (CTMP) that use offline preprocessing to ensure that
online planning can provably guarantee to return solutions
within a (small) constant time for repeated planning tasks,
and b) our work towards planning that provides strong
guarantees on achieving a task despite using inaccurate models
for planning. Finally, I will conclude with my thoughts on
outstanding challenges, in particular as related to
integrating learning and planning in the context of robotics.
--
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AndreA Orlandini PhD
National Research Council of Italy
Institute for Cognitive Science and Technology
Phone: +39-06-44595-223 E-mail: andrea.orland...@istc.cnr.it
Fax: +39-06-44595-243 Url: http://www.istc.cnr.it/group/pst
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Me, the one and only person that never leaves me alone!
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