Planning and Robotics (PlanRob 2024)
ICAPS'24 Workshop
Banff, Alberta, Canada
June 3, 2024 in Room KC 105
Aim and Scope of the Workshop
AI Planning & Scheduling (P&S) methods are key to enabling intelligent robots to perform autonomous, flexible, and interactive behaviours. Researchers in the P&S community have continued to develop approaches and produce planners, representations, as well as heuristics that robotics researchers can make use of. However, there remain numerous challenges complicating the uptake, use and successful integration of P&S technology in robotics, many of which have been addressed by robotics researchers with novel solutions. Strong collaboration and synergy between researchers in both communities is vital to the continued growth of the fields in a way that provide mutual benefits to the two communities. To foster this, the PlanRob workshop aims to provide a stable, long-term forum (having been held annually at ICAPS since 2013) where researchers from both the P&S and Robotics communities can openly discuss relevant issues, research and development progress, future directions and open challenges related to P&S when applied to Robotics. In addition to the usual paper submissions, the workshop’s format naturally lends itself to preliminary results, position papers as well as to work focused on challenges in using and integrating planners in robotics systems.
Topics of Interest
Topics of interest include (but are not limited to):
- human-aware planning and execution in human-robot interaction,
- real-world planning applications for autonomous and intelligent robots,
- planning domain representations for robotics applications,
- optimising behaviour in large scale automated or semi-automated systems,
- integrated planning and execution in robot architectures,
- learning methods for robot planning and scheduling,
- P&S methods for optimisation and adaptation in robotics,
- mission, path, and motion planning for robots,
- formal methods for robot planning and control,
- challenges and solutions in using P&S technology in robotics,
- open problems for P&S in robotics,
- coordination of multi-robot teams,
- benchmark planning domains for robots,
- adversarial action planning in competitive robot domains,
- mixed-initiative planning and sliding autonomy for robotic systems.
Invited Talk
Tiago Stegun Vaquero
Tiago is a Technical Group Supervisor of the Artificial Intelligence Group, Planning and Execution Section, of the Jet Propulsion Laboratory, California Institute of Technology.
Tiago holds a bachelor’s, master’s, and Ph.D. in Mechatronics Engineering from the University of Sao Paulo, Brazil. Tiago previously held a MIT research scientist position and a joint Caltech/MIT research position where he worked on Resilient Spacecraft Systems and Risk Sensitive Planning/Scheduling algorithms with Professor Brian Williams. At MIT, Tiago also worked on Risk Sensitive Planners and Executives for Autonomous Underwater Vehicles and Autonomous Cars. Tiago also held a research position at the University of Toronto where he worked on Multi-Robot Planning and Coordination with Prof. Christopher Beck and Goldie Nejat.
Tiago works on multi-agent coordination methods for multi-rover cave exploration and for surface site characterization.
Title & Abstract coming soon!
List of Accepted Papers
The workshop proceedings will be made available here once they are ready.
Colton Barr, Mateus Karvat and Sidney Givigi. Six Degrees of Planning: Automated Planning for Surgical Navigation Under MyCobot�s Six Degrees of Freedom
Amnon Attali, Stav Ashur and Nancy Amato. Measuring Guidance for the Motion Planning Decision Problem
Georgios Sotirchos and Zlatan Ajanovic. Search-based versus Sampling-based Robot Motion Planning: A Comparative Study
Yilin Cai and Zhongqiang Ren. PWTO: A Heuristic Approach for Trajectory Optimization in Complex Terrains
Akseli Kangaslahti, Itai Zilberstein, Alberto Candela and Steve Chien. Search Applications for Integrated Planning and Execution of Satellite Observations using Dynamic Targeting
András Kovács and Bence Tipary. Sequencing Robotic Diagnostic Tasks via Optimized Stochastic Policy Trees
Mohammad Masarwy, Yuval Goshen, David Dovrat and Sarah Keren. Value of Assistance for Grasping
David DeFazio, Yohei Hayamizu and Shiqi Zhang. Learning Quadruped Locomotion Policies using Logical Rules
Emile Siboulet, Arthur Bit-Monnot, Marc-Emmanuel Coupvent-des-Graviers, Jacques Yelloz, Christophe Guettier and Simon Lacroix. Plan Generation for Multi-Robot Missions Requiring Active Operator Involvement
Evgeny Mishlyakov, Mikhail Gruntov, Alexander Shleyfman and Erez Karpas. A Deterministic Search Approach for Solving Stochastic Drone Search and Rescue Planning Without Communications
Ronen Brafman, Or Wertheim and Dan Suissa. Plug’n Play Task-Level Autonomy for Robotics Using POMDPs and Probabilistic Programs
Workshop Schedule
Our workshop is scheduled for Monday, June 3, 2024. It takes place in room KC 105.
The preliminary schedule is as follows:
- 08:30 - 08:40 Welcome
- 08:40 - 09:40 Invited talk
- 09:40 - 10:00 Search Applications for Integrated Planning and Execution of Satellite Observations using Dynamic Targeting
- 10:00 - 10:30 Coffee Break
- 10:30 - 10:50 PWTO: A Heuristic Approach for Trajectory Optimization in Complex Terrains
- 10:50 - 11:00 Sequencing Robotic Diagnostic Tasks via Optimized Stochastic Policy Trees (short paper)
- 11:00 - 11:20 Value of Assistance for Grasping
- 11:20 - 11:40 Learning Quadruped Locomotion Policies using Logical Rules
- 11:40 - 12:00 Plan Generation for Multi-Robot Missions Requiring Active Operator Involvement
- 12:00 - 13:30 Lunch Break
- 13:30 - 13:50 Six Degrees of Planning: Automated Planning for Surgical Navigation Under MyCobot’s Six Degrees of Freedom
- 13:50 - 14:10 Measuring Guidance for the Motion Planning Decision Problem
- 14:10 - 14:30 Search-based versus Sampling-based Robot Motion Planning: A Comparative Study
- 14:30 - 14:50 A Deterministic Search Approach for Solving Stochastic Drone Search and Rescue Planning Without Communications
- 14:50 - 15:10 Plug’n Play Task-Level Autonomy for Robotics Using POMDPs and Probabilistic Programs
- 15:10 - 15:15 Discussion
- 15:00 - 15:30 Coffee Break
- 15:30 - 17:00 Joint Workshops’ Panel Session (Location tbd)
Important Dates
- Paper submission:
March 25, 2024 UTC-12April 3rd, 2024 UTC-12 - Notification of acceptance: Friday, 26 April 2024
- Camera-ready version due: Friday 24 May 2024 (AoE)
- Workshop Date: June 3, 2024
The reference time-zone for all deadlines is UTC-12: Your submissions will be on time so long as there is still any place on Earth where the deadline has not yet passed.
Submission Details
There are two types of submissions:
- short position papers (four pages)
- regular papers (up to 10 pages)
Papers may have an additional page containing references. Regular papers may be scheduled with more time in the final program. A poster session may be considered to provide a further presentation opportunity.
The guidelines for formatting are the same as is used for ICAPS 2024 papers (typeset in the AAAI style as described at: http://www.aaai.org/Publications/Author/author.php), but with the AAAI copyright removed. The papers must be submitted in PDF format via the EasyChair system (https://easychair.org/conferences/?conf=icapswsplanrob24).
Please note that papers under review (e.g. which have been submitted to IJCAI-2024) are also welcome, however, in order to avoid potential conflicts, these manuscripts should be prepared as anonymous submissions for a double blind reviewing process.
Accepted papers will be published on the workshop’s website.
The organisers are investigating the availability of journal editors in order to invite a selection of accepted papers from the workshop to a special issue or post-proceedings volume.
Organizing Committee
Iman Awaad,
Hochschule Bonn-Rhein-Sieg University of Applied Sciences, Germany
iman.awaad@h-brs.de
Alberto Finzi,
Università di Napoli “Federico II”, Italy
alberto.finzi@unina.it
AndreA Orlandini,
Institute of Cognitive Sciences and Technologies (ISTC-CNR), Italy
andrea.orlandini@istc.cnr.it
Program Committee
Alessandro Umbrico, National Research Council of Italy CNR-ISTC, Italy
Arthur Bit-Monnot, LAAS/CNRS, France
Elisa Tosello, Fondazione Bruno Kessler - FBK, Italy
Erez Karpas, Technion, Israel
Felix Ingrand, LAAS/CNRS, France
Jared Swift, King’s College London, UK
Marco Roveri, University of Trento, Italy
Masoumeh Mansouri, University of Birmingham, UK
Oscar Lima, German Research Center for Artificial Intelligence - DFKI, Germany
Riccardo Caccavale, Università degli studi di Napoli Federico II, Italy
Riccardo Rasconi, National Research Council of Italy CNR-ISTC, Italy
Roman Barták, Charles University, Czech Republic
Ron Petrick, Heriot-Watt University, UK
Ronen Brafman, Ben Gurion University, Israel
Tim Niemueller, Intrinsic Innovation GmbH, Germany