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Learning Robust Dexterous In-Hand Manipulation From Joint Sensors With Proprioceptive Transformer by cy133177 is a document available to read on EtoBox.
What is Learning Robust Dexterous In-Hand Manipulation From Joint Sensors With Proprioceptive Transformer about?
The document presents a study on improving in-hand object manipulation in robotic hands using a Proprioceptive Transformer (PT) that relies solely on joint sensing feedback. The approach shows significant advancements, achieving 3.1 times higher rotation speed and 100% accuracy in cube reorientation tasks compared to traditional methods that depend on vision-based systems. By utilizing joint sensors, the research addresses the limitations of external perception and demonstrates effective real-world performa
- Author
- cy133177
- Language
- EN