[agents] [meetings] Call for Participation - Workshop on Planning and Robotics - International Conference on Automated Planning and Scheduling - ICAPS 2021

Thu Jul 29 06:12:56 EDT 2021

Apologies for multiple copies

We are glad to invite you to attend the 9th ICAPS workshop on Planning 
and Robotics (PlanRob 2021).

The event will be an online virtual event and the program is full of 
interesting papers.
The workshop program is also enriched by a keynote talk of Peter Stone 
(University of
Texas at Austin) on "Task Planning and Learning for General-Purpose 
Service Robots"
(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 2021 Chairs

                          ** CALL FOR PARTICIPATION **

                 9th ICAPS Workshop on Planning and Robotics
                                     (PlanRob‚ 2021)

      http://icaps21.icaps-conference.org/workshops/PlanRob/

                                ICAPS 2021 Workshop
                             (Virtually in) Guangzhou, China
                              August 4 and August 5, 2021
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Program   (Schedule in GMT)
***************

*August 4th*
10:00 	10:10 	Intro

	Task & Motion Planning 1
10:10 	10:35 	24./Combining Task and Motion Planning through 
Rapidly-exploring Random Trees./Riccardo Caccavale and Alberto Finzi
10:35 	11:00 	14./Limits and Possibilities of Multi Goal Task Motion 
Planning./Stefan Edelkamp
11:00 	11:25 	13./Extended Task and Motion Planning of Long-horizon 
Robot Manipulation./Tianyu Ren, Georgia Chalvatzaki and Jan Peters
11:25 	11:50 	11./Multi-objective Path-based D* Lite./Zhongqiang Ren, 
Sivakumar Rathinam and Howie Choset
11:50 	12:10 	Break

	Space and Planetary Rover
12:10 	12:35 	12./MarsExplorer: Exploration of Unknown Terrains via Deep 
Reinforcement Learning and Procedurally Generated 
Environments./Dimitrios Koutras, Athanasios Kapoutsis, Angelos 
Amanatiadis and Elias Kosmatopoulos
12:35 	13:00 	8./A Sampling-Based Optimization Approach to Handling 
Environmental Uncertainty for a Planetary Lander./Connor Basich, Daniel 
Wang, Joseph Russino, Steve Chien and Shlomo Zilberstein
13:00 	13:25 	21./Deliberation and Plan Execution for Intra-vehicle 
Robotic Activities in Space. J./Benton, Abiola Akanni and Robert Morris
13:25 	13:45 	Break

	Cognitive and Trustworthy Robotics
13:45 	14:10 	17./Non-monotonic Logical Reasoning Guiding Axiom 
Induction from Deep Networks for Transparent Decision Making in 
Robotics./Mohan Sridharan and Tiago Mota
14:10 	14:35 	25./Two-layered Architecture for Telepresence Robots: 
Combining Personalization and Reactivity./Gloria Beraldo, Riccardo De 
Benedictis, Amedeo Cesta and Gabriella Cortellessa
14:35 	15:00 	19./Trust-Aware Planning:Modeling Trust Evolution in 
Longitudinal Human-Robot Interaction./Zahra Zahedi, Mudit Verma, Sarath 
Sreedharan and Subbarao Kambhampati
15:00 	16:00 	Keynote by Peter Stone

*August 5th*

	Planning with Uncertainty
10:00 	10:25 	3./An Interactive Approach for the Analysis and Shielding 
of Partially Observable Monte Carlo Planning Policies./Giulio Mazzi, 
Giovanni Bagolin, Alberto Castellini and Alessandro Farinelli
10:25 	10:50 	4./Combining Temporal and Probabilistic Planning for 
Robots Operating in Extreme Environments./Jun Hao Alvin Ng, Yaniel 
Carreno, Yvan Petillot and Ron Petrick
10:50 	11:15 	7./Probabilistic Plan Legibility with Off-the-shelf 
Planners./Michele Persiani and Thomas Hellstrom
11:15 	11:40 	23./Compiling Contingent Planning into Temporal Planning 
for Robust AUV Deployments./Yaniel Carreno, Yvan Petillot and Ron Petrick
11:40 	12:00 	Break

	Task & Motion Planning 2
12:00 	12:25 	15./SM2P: Towards a Robust Co-Pilot System for Helicopter 
EMS./Ian Mallet, Marcus Hoerger, Surabhi Gupta, Nisal Jayalath, Felipe 
Trevizan, Andrew Hunt, Hanna Kurniawati and Christophe Guettier
12:25 	12:50 	20./Learning Sampling Distributions for Efficient 
High-Dimensional Motion Planning./Naman Shah, Abhyudaya Srinet and 
Siddharth Srivastava
12:50 	13:15 	18./Benchmarking Sampling-based Motion Planning Pipelines 
for Wheeled Mobile Robots. Eric Heiden, Luigi Palmieri, Leonard Bruns, 
Kai O. Arras, Gaurav S./Sukhatme and Sven Koenig
13:15 	13:40 	6./Construction Site Automation: Open Challenges for 
Planning and Robotics./Paolo Forte, Anna Mannucci, Henrik Andreasson and 
Federico Pecora
13:40 	14:00 	Break

	Planning and Execution
14:00 	14:25 	2./An Action Interface Manager for 
ROSPlan./Stefan-Octavian Bezrucav, Gerard Canal, Michael Cashmore and 
Burkhard Corves
14:25 	14:50 	10./Real-time Planning and Execution for Industrial 
Operations./Filip Dvorak
14:50 	15:15 	16./State-Temporal Decoupling of Multi-Agent Plans under 
Limited Communication./Yuening Zhang, Jingkai Chen, Eric Timmons, 
Marlyse Reeves and Brian Williams
15:15 	15:40 	Closing

      Keynote Talk

On August 4th 3pm GMT byDr. Peter Stone <https://www.cs.utexas.edu/~pstone/>

          Title: Task Planning and Learning for General-Purpose Service
          Robots

*Abstract:*

Despite recent progress in the capabilities of autonomous robots, 
especially learned robot skills, there remain significant challenges in 
building robust, scalable, and general-purpose systems for service 
robots. Our research aims to answer the question "How can symbolic 
reasoning and machine learning methods be combined to create 
general-purpose service robots that reason about high-level actions and 
adapt to the real world?"

We approach this question from two directions. First, we introduce 
planning algorithms that adapt to the environment using machine learning 
and exchanging knowledge with other agents. These algorithms allow 
robots to plan in open-world scenarios, to plan around other robots 
while avoiding conflicts and realizing synergies, and to adapt plans by 
learning action costs throughout executions in the real world. Second, 
we develop reinforcement learning (RL) methods for service robot 
systems. These methods address the challenges of maximizing the 
long-term average reward in continuing tasks, as well as improving 
sample efficiency by leveraging reasoning and planning via reward 
shaping. Taken together, our research makes significant strides towards 
solving the grand challenge of creating general-purpose service robots.

[Based on joint work with Yuqian Jiang and others]

-- 
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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.orlandini at 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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