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Task-Driven Tactile Exploration

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.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Reinforcement Learning and Robotics
📈 Trend Setter - Robotics
🧭 Keyword Pioneer - task planning
🐣 Hot Topic Early Bird - task planning

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