RSS 2009

The document "RSS 2009" was published on "2022-10-19T15:28:03" on the website "ConfIDent" under the URL https://confident-conference.org/index.php/Event:RSS 2009.

The document "RSS 2009" describes an event in the sense of a conference.

The document "RSS 2009" contains information about the event "RSS 2009" with start date "2009/06/28" and end date "2009/07/01".

The event "RSS 2009" is part of the event series identified by [[Event Series:RSS]]

Deadlines

2009-03-09

2009-03-13

2009-01-15

15 Jan 2009

Submission

9 Mar 2009

Notification

13 Mar 2009

Camera-Ready

Venue

Seattle, Washington, United States of America

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Papers containing original and unpublished work are solicited in all areas of robotics, including (but not limited to) the following:

    * Mechanisms: Design, Humanoids, Hands, Legged Systems, Snakes, Novel Actuators, Reconfigurable Robots, MEMS/NEMS, Micro/Nanobots
    * Kinematics, Dynamics, and Control: Contact Modeling, Grasp Synthesis, Dexterous Manipulation, Assembly
    * Human-Robot Interaction and Human Centered Systems: Brain-Machine Interfaces, Haptics, Tactile Interfaces, Telerobotics, Human Augmentation, Assistive Robots, Social Robots, Robots and Art
    * Distributed Systems: Sensor Networks, Multi-Robot Systems, Networked Robots, Robot Soccer
    * Mobile Systems and Mobility: Mapping, Localization, SLAM, Collision Avoidance, Exploration, Mobile Robot Control, High-Speed Navigation
    * Applications: Underwater Robotics, Aerial/Space Robotics
    * Medical Robotics: Robot-assisted procedures, Smart surgical tools, Rehabilitation robotics, Interventional therapy, Image-guided procedures, Surgical simulation, Soft-tissue modeling, Telesurgery
    * Biological Robotics: Biomimetic robotics, Robotic investigation of biologicalscience and systems, Cell manipulation, Neurobotics, Prosthetics
    * Robot Perception: Vision, Remote Sensing, Tactile Perception, Range Sensing
    * Planning and Algorithms: Motion Planning, Mission Planning, Coordination, Complexity and Completeness, Computational Geometry, Robotics and Molecular Biology, Simulation
    * Estimation and Learning for Robotic Systems: ReinforcementLearning, BayesianTechniques, Graphical Models, Imitation Learning, Programming by Demonstration, Diagnostics
	

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