Deep Reinforcement Learning (DRL) has proven effective in learning control policies using robotic grippers, but much less practical for solving the problem of grasping with dexterous hands - especially on real robotic platforms - due to the high dimensionality of the problem. In this letter, we focus on the multi-fingered grasping task with the...
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2024 (v1)PublicationUploaded on: July 3, 2024
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2022 (v1)Publication
The visual system of a robot has different requirements depending on the application: it may require high accuracy or reliability, be constrained by limited resources or need fast adaptation to dynamically changing environments. In this work, we focus on the instance segmentation task and provide a comprehensive study of different techniques...
Uploaded on: February 14, 2024 -
2022 (v1)Publication
The visual system of a robot has different requirements depending on the application: it may require high accuracy or reliability, be constrained by limited resources or need fast adaptation to dynamically changing environments. In this work, we focus on the instance segmentation task and provide a comprehensive study of different techniques...
Uploaded on: February 14, 2024