IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Chicago, September 14, 2014
Full-day Workshop
Topics of interest focus on the application of machine learning to solve complex planning and control problems for robot motion. Topics include (but are not limited to):
- Task representation and classification for motion-based learning
- Intelligent planning for complex and high dimensional environments
- Smart sampling techniques for motion planning
- Learning feature selection for motion-based tasks
- Methods for incorporating learning into planning
- Reinforcement learning of motions for robotics and dynamical systems
- Transfer of learning and motion plans, motion-based knowledge and experience sharing among the agents
- Intelligent methods for creating motion plans that meet dynamical constraints
- Intelligent task planning and learning under uncertainty and disturbance
- Adaptive motion planning for system stability
- Adaptable heuristics for efficient motion plans
- Motion generalization - methods that learn a subset of motions and produce plans with a higher range of motions
- Intelligent motion planning for multi-agent systems and fleets