2010
RSS
RSS 2010
Task-Driven Tactile Exploration
Abstract
This paper presents a decision-theoretic approach to problems that require accurate placement of a robot relative to an object in the world, including grasping and insertion. The decision process is applied to a robot hand with tactile sensors, to localize the object and ultimately achieve a target placement by selecting among grasping and information-gathering trajectories. The process is demonstrated in simulation and on a real robot.
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Interdisciplinary Bridge
— Artificial Intelligence and Reinforcement Learning and Robotics
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Trend Setter
— Robotics
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Keyword Pioneer
— robot grasping
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Hot Topic Early Bird
— object localization
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics