2023 (v1)
Publication
No description
Uploaded on: July 7, 2023
-
-
2021 (v1)Publication
Affordance detection in computer vision allows segmenting an object into parts according to functions that those parts afford. Most solutions for affordance detection are developed in robotics using deep learning architectures that require substantial computing power. Therefore, these approaches are not convenient for application in embedded...
Uploaded on: October 11, 2023 -
2023 (v1)Publication
Robotic grippers aim to be increasingly precise, being effective in object manipulation and gentle on fragile objects. In this scenario, endowing a gripper with a distributed sensing system sensitive to a set of dynamic touch patterns seems crucial to improve the gripper as a manipulation device. In humans, the velocity of touch influences...
Uploaded on: February 11, 2024 -
2023 (v1)Publication
No description
Uploaded on: February 14, 2024 -
2024 (v1)Publication
No description
Uploaded on: July 24, 2024 -
2023 (v1)Publication
No description
Uploaded on: February 4, 2024 -
2024 (v1)Publication
No description
Uploaded on: October 3, 2024 -
2022 (v1)Publication
No description
Uploaded on: February 13, 2024 -
2024 (v1)Publication
No description
Uploaded on: July 5, 2024