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

Aleksandra Faust afaust at cs.unm.edu
Fri Jun 27 07:44:24 PDT 2014

Paper submission deadline is now extended to Sunday, 06-Jul-14. This 
will be the final deadline.

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
Chicago, Illinois, USA


Paper submission deadline extended: 06-Jul-14
Notification of acceptance:         28-Jul-14
Camera-ready paper submission:      11-Aug-14
Workshop at IROS 2014:              14-Sep-14


Please submit a PDF document in IEEE format via EasyChair at


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 

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.

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 
- 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

- 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


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


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Please feel free to contact the workshop committee at 


Maria Gini, University of Minnesota, gini\AT\cs.umn.edu
Marco Morales, Instituto Tecnologico Autonomo de Mexico, 
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, 
Farbod Farshidian - Student Organizer, ETH Zurich, 

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