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20242026
most citedDevelopment and Adaptation of Robotic Vision in the Real-World: the Challenge of Door Detection

3 citations · 3 across the 6 of their papers we have counts for

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cs.RO2026

Self-supervised Domain Adaptation for Visual 3D Pose Estimation of Nano-drone Racing Gates by Enforcing Geometric Consistency

Nicholas Carlotti, Michele Antonazzi, Elia Cereda +4

We consider the task of visually estimating the relative pose of a drone racing gate in front of a nano-quadrotor, using a convolutional neural network pre-trained on simulated dat…

cs.RO2026

Instance-Guided Unsupervised Domain Adaptation for Robotic Semantic Segmentation

Michele Antonazzi, Lorenzo Signorelli, Matteo Luperto +1

Semantic segmentation networks, which are essential for robotic perception, often suffer from performance degradation when the visual distribution of the deployment environment dif…