PLATINUm: A New Framework for Planning and Acting

This paper presents a novel planning framework, called PLATINUm that advances the state of the art with the ability of dealing with temporal uncertainty both at planning and plan execution level. PLATINUm is a comprehensive planning system endowed with (i) a new algorithm for temporal planning with uncertainty, (ii) heuristic search capabilities grounded on hierarchical modelling and (iii) a robust plan execution module to address temporal uncertainty while executing plans. The paper surveys the capabilities of this new planning system that has been recently deployed in a manufacturing scenario to support Human-Robot Collaboration.

[1]  Thierry Vidal,et al.  Handling contingency in temporal constraint networks: from consistency to controllabilities , 1999, J. Exp. Theor. Artif. Intell..

[2]  Tullio Tolio,et al.  Motion planning and scheduling for human and industrial-robot collaboration , 2017 .

[3]  Michael Freitag,et al.  Automatic design of scheduling rules for complex manufacturing systems by multi-objective simulation-based optimization , 2016 .

[4]  Enrico Tronci,et al.  Validation and verification issues in a timeline-based planning system , 2010, The Knowledge Engineering Review.

[5]  Marta Cialdea Mayer,et al.  Enriching a Temporal Planner with Resources and a Hierarchy-Based Heuristic , 2015, AI*IA.

[6]  Amedeo Cesta,et al.  Towards a planning-based framework for symbiotic human-robot collaboration , 2016, 2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA).

[7]  Frederic Py,et al.  A systematic agent framework for situated autonomous systems , 2010, AAMAS.

[8]  Amedeo Cesta,et al.  Steps in Assessing a Timeline-Based Planner , 2016, AI*IA.

[9]  Joachim Hertzberg,et al.  Online task merging with a hierarchical hybrid task planner for mobile service robots , 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[10]  Malik Ghallab,et al.  Representation and Control in IxTeT, a Temporal Planner , 1994, AIPS.

[11]  Marta Cialdea Mayer,et al.  Planning and execution with flexible timelines: a formal account , 2016, Acta Informatica.

[12]  Arthur Bit-Monnot,et al.  Temporal and Hierarchical Models for Planning and Acting in Robotics , 2016 .

[13]  Amedeo Cesta,et al.  Planning meets verification and validation in a knowledge engineering environment , 2014, Intelligenza Artificiale.

[14]  Tristan B. Smith,et al.  EUROPA : A Platform for AI Planning, Scheduling, Constraint Programming, and Optimization , 2012 .

[15]  Kaspar Althoefer,et al.  FourByThree: Imagine humans and robots working hand in hand , 2016, 2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA).

[16]  Rachid Alami,et al.  HATP: An HTN Planner for Robotics , 2014, ArXiv.

[17]  Tullio Tolio,et al.  A probabilistic approach to workspace sharing for human–robot cooperation in assembly tasks , 2016 .

[18]  Marta Cialdea Mayer,et al.  An Executable Semantics of Flexible Plans in Terms of Timed Game Automata , 2015, 2015 22nd International Symposium on Temporal Representation and Reasoning (TIME).

[19]  Federico Pecora,et al.  More knowledge on the table: Planning with space, time and resources for robots , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

[20]  Nicola Muscettola,et al.  Dynamic Control Of Plans With Temporal Uncertainty , 2001, IJCAI.

[21]  Félix Ingrand,et al.  Interleaving Temporal Planning and Execution in Robotics Domains , 2004, AAAI.