Download presentation
Presentation is loading. Please wait.
Published byEric Stokes Modified over 9 years ago
1
Autonomous Intelligent Systems at King’s College London Derek Long http://www.inf.kcl.ac.uk/staff/andrew/planning/index.php
2
What we do... Planning: “the art of thinking before acting” – Intelligent control using predictive models Modelling for planning Temporal and resource-constrained planning Planning with continuous dynamics Plan-validation, robustness testing and plan-repair Planning under uncertainty: plan-based policy learning Automated planning is a maturing technology, with increasing numbers of fielded applications – It offers rapid deployment, flexibility and a good effort-to-performance trade-off
3
Software Systems A stable of planners: – POPF, COLIN, Crikey, LP-RPG, TSGP and earlier systems Parsers and other tools for managing planning models written in PDDL – PDDL2.1: Time and numbers – PDDL2.2: Time-tagged events – PDDL3: Trajectory constraints and temporally extended goals – PDDL+: Continuous processes, exogenous events Plan validation system, VAL Application framework and executive, MADbot
4
The People Professors Maria Fox and Derek Long, lead a team of ~10-15 academics, researchers and students – Recently moved from University of Strathclyde (Nov 2011) Fox and Long have managed a group of 10-20 staff and students over more than a decade, producing leading research in AI Planning
5
The Context The Autonomous Intelligent Systems group at King’s includes research on agents, multi-agent systems, argumentation, dialogue and auctions – 7 further academic staff led by Professors Mike Luck and Peter McBurney The Centre for Robotics Research includes Professors Jan Dai and Kaspar Althoefer and 4 additional academic staff – Medical robotics – Manufacturing robotics – Flexible manipulators and configurable robotic systems
6
Applications Currently we are involved in projects exploring the use of planning in: – Persistent autonomous control of AUVs performing inspection and maintenance tasks – Plan-based policy learning for control of AUVs performing algal bloom mapping – Autonomous management of SmartGrid power systems ̶Autonomous science observation planning on-board planetary rovers
7
Applications Intelligent management of multiple batteries in mobile devices Liner-placement planning, aircraft landing planning and other transportation management problems UAV search pattern planning Wind-turbine hub assembly planning
Similar presentations
© 2025 SlidePlayer.com. Inc.
All rights reserved.