(mobo import Concept___Event_For_Confident-migrated) |
(mobo import Concept___Events_With_Academic_Fields-migrated) |
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|Title=Robotics Science and Systems | |Title=Robotics Science and Systems | ||
|Type=Conference | |Type=Conference | ||
− | |||
|Homepage=www.roboticsconference.org/index.html | |Homepage=www.roboticsconference.org/index.html | ||
|City=Seattle | |City=Seattle | ||
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|Start Date=2009/06/28 | |Start Date=2009/06/28 | ||
|End Date=2009/07/01 | |End Date=2009/07/01 | ||
+ | |Academic Field=Robotics | ||
}} | }} | ||
<pre> | <pre> |
Revision as of 13:56, 24 August 2022
Papers containing original and unpublished work are solicited in all areas of robotics, including (but not limited to) the following: * Mechanisms: Design, Humanoids, Hands, Legged Systems, Snakes,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
This CfP was obtained from WikiCFP