Dexterous Manipulation
Dexterous manipulation focuses on enabling robots to perform complex, human-like hand movements for object interaction, aiming to replicate the dexterity and adaptability of human hands. Current research emphasizes improving tactile sensing, developing efficient control algorithms (including model-predictive control and reinforcement learning), and creating more cost-effective robotic hands with sufficient degrees of freedom. These advancements are crucial for expanding robotics applications in areas like manufacturing, healthcare, and daily life, where precise and adaptable manipulation is essential.
Papers
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