Rodrigo Zenha — accepted AI-conference papers

2022

Comparing Single Touch to Dynamic Exploratory Procedures for Robotic Tactile Object Recognition

Elliot Kirby, Rodrigo Zenha, Lorenzo Jamone

RA-L 2022

Recognizing objects by touch is a very useful skill for robots to be employed in both structured and unstructured environments. While in some applications it is useful to recognize an object from a single touch, in other scenarios specific robot movements can be used to obtain more information about

Cited by 13 Source ↗Scholar ↗

2021

Tactile Slip Detection in the Wild Leveraging Distributed Sensing of both Normal and Shear Forces

Rodrigo Zenha, Brice Denoun, Claudio Coppola, Lorenzo Jamone

IROS 2021poster

The ability to detect that a grasped object is slipping from the robot gripper is a crucial skill for autonomous robotic manipulation. However, current solutions for automatic slip detection do not perform well in real-world unstructured settings, in which a wide variety of gripper-object interactio…

Cited by 13 Source ↗Scholar ↗