[robotics-worldwide] [meetings] Second CfP IROS 14 Workshop on Machine Learning in Planning and Control of Robot Motion

Aleksandra Faust afaust at cs.unm.edu
Mon May 19 14:25:13 PDT 2014


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CALL FOR PAPERS AND POSTER ABSTRACTS

Machine Learning in Planning and Control of Robot Motion Workshop at
IEEE/RSJ International Conference on Intelligent Robots and Systems
(IROS) 2014
September 14, 2014
http://www.cs.unm.edu/amprg/mlpc14Workshop
Chicago, Illinois, USA

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IMPORTANT DATES:

Paper submission opens:            1-Jun-14
Paper submission deadline:         30-Jun-14
Notification of acceptance:        28-Jul-14
Camera-ready paper submission:     11-Aug-14
Workshop at IROS 2014:             14-Sep-14

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SUBMISSION:
Please submit a PDF document in IEEE format via EasyChair at
https://www.easychair.org/conferences/?conf=mlpc2014

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ABSTRACT:
Modern robots are expected to perform complex, unsafe, or difficult tasks. Planning and executing the motions required for these tasks is difficult due to factors such as high-dimensional configuration spaces and changing environmental conditions. Moreover, uncertainty in robot dynamics and environment makes it impossible to know ahead of time how to operate best. Recent success has been made through the integration of planning methods with tools from Machine Learning (ML). For example, clustering, reinforcement learning, and intelligent heuristics have adaptively solved planning problems in complex planning spaces, automatically identified appropriate trajectories for robots with complex dynamics, and reduced the amount of time required for planning motions.

It is the goal of this workshop to explore methods and advancements afforded by the integration of ML for the planning and execution of robot motion. Because these methods are often heuristic, issues such as safety and performance are critical. Also, learning-based questions such as problem learnability, knowledge transfer among robots, knowledge generalization, long-term autonomy, task formulation, demonstration, role of simulation, and methods for feature selection define problem solvability. We will address these issues while discussing current and future directions for intelligent planning and execution of motions for robotics systems.

MOTIVATION AND OBJECTIVES:
The workshop aims to spark vibrant discussion with talks from invited speakers, presentations from authors of accepted papers, and a poster session. We are soliciting two types of contributions:

- Papers (4-6 pages) for oral or  interactive poster presentation
- Extended abstracts (2 pages) for interactive poster presentation


LIST OF TOPICS (included, but not limited to):
- Task representation and classification
- Planning for complex and high dimensional environments
- Smart sampling techniques for motion planning
- Learning feature selection
- Methods for incorporating learning into planning
- Reinforcement learning for robotics and dynamical systems
- Transfer of learning and motion plans, knowledge and experience sharing among the agents
- Policy selection: exploration versus exploitation, methods for safe exploration
- Methods for creating motion plans that meet dynamical constraints
- Task planning and learning under uncertainty and disturbance
- Motion planning for system stability
- Adaptable heuristics for efficient motion plans
- Motion generalization - methods that learn subset of motion and produce plans with higher range of motions
- Motion planning for multi-agent systems and fleets

INTENDED AUDIENCE:
- Motion planners with interests in learning and planning for changing agents, environment, or both
- Reinforcement learning and machine learning communities that develop novel learning methods for autonomous agents
- Multi-agent researchers
- Controls community focused on controlling physical systems
- Robotics community

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CONFIRMED GUEST SPEAKERS:
Pieter Abbeel, University of California Berkeley
Jan Peters, Technische Universitaet Darmstadt
Manuela Veloso, Carnegie Mellon University

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SOCIAL MEDIA:
Like us on Facebook: https://www.facebook.com/mlpc2014
Follow us on Twitter: https://twitter.com/MLPC2014
Please feel free to contact the workshop committee at mlpc2014\AT\easychair.org

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ORGANIZERS:
Maria Gini, University of Minnesota, gini\AT\cs.umn.edu
Marco Morales, Instituto Tecnologico Autonomo de Mexico, marco.morales\AT\itam.mx
Angela P. Schoellig, University of Toronto, schoellig\AT\utias.utoronto.ca
Lydia Tapia, University of New Mexico, tapia\AT\cs.unm.edu
Aleksandra Faust - Student Organizer, University of New Mexico, afaust\AT\cs.unm.edu
Farbod Farshidian - Student Organizer, ETH Zurich, farshidian\AT\mavt.ethz.ch




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