- March 31, 2017 - Submissions Due
- April 20, 2017 - Notification
- TBD - Camera-ready Due
- June 19-20, 2017 - Workshop Date
Robotics is one of the most appealing and natural applicative area for the Planning and Scheduling (P&S) research activity, however such a natural interest seems not reflected in an equally important research production for the Robotics community. In this perspective, the aim of the PlanRob workshop is t wofold. On the one hand, this workshop would constitute a fresh impulse for the ICAPS community to develop its interests and efforts towards this challenging research area. On the other hand, it aims at attracting representatives from the Robotics community to discuss their challenges related to planning for autonomous robots (deliberative, reactive, continuous planning and execution etc.) as well as their expectations from the P&S community.
The PlanRob workshop aims at constituting a stable, long-term for um on relevant topics concerned with the interactions between Robotics and P&S communities where researchers could discuss about the opportunities and challenges of P&S when applied to Robotics.
Started during ICAPS 2013 in Rome (Italy), followed by a sec ond edition at ICAPS 2014 in Portsmouth (NH, USA), a third, forth edition at ICAPS 2015 in Jerusalem (Israel) and ICAPS 2016 in Lon don (UK), the PlanRob WS series has gathered excellent feedback from the P&S community which is also con rmed by the organis ation of a speci c Robotics Track starting from ICAPS 2014 The PlanRob workshop is proposed in synergy with the ICAPS Robotic track. We are in contact with the Robotics Track organizers trying to explore di fferent ways to synchronize with them. T he PlanRob WS aims to maintain a more informal forum where also more preliminary/visionary works can be discussed stimulating direct and open interactions.
Topics of Interest
Topics of interest include but not limited to the following:
- planning domain representations for robotics applications
- mission, path, and motion planning for robots
- integrated planning and execution in robotic architectures
- planning and coord ination methods for multi-robot te ams
- mixed-initiative planning and sliding autonomy for robotic systems
- human-aware planning and execution in human-robot interaction
- adversarial action planning in competitive robotic domains
- formal methods for robot planning and control
- P&S methods for optimization and adaptation in robotics;
- benchmark planning domains for robots
- optimizing behavior in large scale automated or semi-automated systems
- real-world planning applications for autonomous and intelligent robots
- Paper submission deadline: March 31, 2017
- Notification of acceptance: April 20, 2017
- Camera-ready paper submissions: TBD
- Workshop date: June 19 or 20, 2017
There are two types of submissions: short position statements and regular papers. Position papers are a maximum of 4 (four) pages. Regular papers are a maximum of 12 (twelve) pages. Papers should be submitted via the PlanRob 2017 EasyChair website.
All papers should be typeset in the AAAI style, removing the AAAI copyright. Accepted papers will be published on the workshop website and printed as a hard-copy.
The organizers will investigate the availability of journal editors in order to invite higher qual ity papers from the PlanRob 2017 edition to a special issue or post-proceedings volume.
June 20: 08:45 a.m. - 17:40 p.m.
|Session 1: Probabilistic Planning, Perception and Navigation|
|9:00||Towards an Architecture for Discovering Domain Dynamics: Affordances, Causal Laws, and Executability Conditions|
|9:20||Integrated Commonsense Reasoning and Probabilistic Planning|
|9:40||Approximating Reachable Belief Points in POMDPs with Applications to Robotic Navigation and Localization|
|Session 2: Task and Motion Planning|
|11:00||STRIPS Planning in Infinite Domains|
|11:20||Dynamics-Aware Reactive Planning for Unmanned Ground Vehicles to Avoid Collisions with Dynamic Obstacles on Uneven Terrains|
|11:40||Joint Perception And Planning For Efficient Obstacle Avoidance Using Stereo Vision|
|12:00||Augmenting Planning Graphs in 2-Dimensional Dynamic Environments With Obstacle Scaffolds|
|12:20||Deep Spatial Affordance Hierarchy: Spatial Knowledge Representation for Planning in Large-scale Environments|
|14:00-14:50||Invited Talk: Algorithms for Physics-based Manipulation
|Session 3: Planning and Execution|
|14:50||Intra-Robot Replanning to Enable Team Plan Conditions|
|15:10||Towards CLIPS-based Task Execution and Monitoring with SMT-based Decision Optimization|
|Session 4: Applications|
|16:00||On the Application of Classical Planning to Real Social Robotic Tasks|
|16:20||Expressing Campaign Intent to Increase Productivity of Planetary Exploration Rovers|
|16:40-17:40||Panel: Why Isn't Planning Used More in Robotics?|
Accepted PapersOn the Application of Classical Planning to Real Social Robotic Tasks.
José Carlos González Dorado, Fernando Fernández Rebollo, Ángel García Olaya, Raquel Fuentetaja Pizán
STRIPS Planning in Infinite Domains.
Caelan Garrett, Tomas Lozano-Perez and Leslie Kaelbling
Expressing Campaign Intent to Increase Productivity of Planetary Exploration Rovers.
Daniel Gaines, Gregg Rabideau, Gary Doran, Steve Schaffer, Vincent Wong, Ashwin Vasavada, Robert Anderson
Integrated Commonsense Reasoning and Probabilistic Planning.
Shiqi Zhang and Peter Stone
Approximating Reachable Belief Points in POMDPs with Applications to Robotic Navigation and Localization.
Kyle Wray and Shlomo Zilberstein
Dynamics-Aware Reactive Planning for Unmanned Ground Vehicles to Avoid Collisions with Dynamic Obstacles on Uneven Terrains.
Pradeep Rajendran, Brual C. Shah, S.K. Gupta
Towards CLIPS-based Task Execution and Monitoring with SMT-based Decision Optimization.
Tim Niemueller, Gerhard Lakemeyer, Francesco Leofante, Erika Abraham
Joint Perception And Planning For Efficient Obstacle Avoidance Using Stereo Vision.
Sourish Ghosh and Joydeep Biswas
Augmenting Planning Graphs in 2-Dimensional Dynamic Environments With Obstacle Scaffolds.
Spencer Lane, Kyle Vedder, Joydeep Biswas
Samer Nashed and Joydeep Biswas
Towards an Architecture for Discovering Domain Dynamics: Affordances, Causal Laws, and Executability Conditions.
Mohan Sridharan and Ben Meadows
Intra-Robot Replanning to Enable Team Plan Conditions.
Philip Cooksey and Manuela Veloso
Deep Spatial Affordance Hierarchy: Spatial Knowledge Representation for Planning in Large-scale Environments.
Andrzej Pronobis, Francesco Riccio, Rajesh Rao