Robotic perception
Robotic perception
Robotic perception

Media

  • New results in scene reconstruction and grasping

    Robots face challenges in perceiving new scenes, particularly when registering objects from a single perspective, resulting in incomplete shape information about objects. Partial object models negatively influence the performance of grasping methods. To address this, robots can scan the scene from various perspectives or employ methods to directly fill in unknown regions. This research reexamines…

  • Best Paper Award at the PP-RAI 2023

    We are happy to announce that our paper “On the Importance of the RGB-D Sensor Model in the CNN-based Robotic Perception” prepared by Mikołaj Zieliński and Dominik Belter won the best paper award of Robotics and Autonomous Systems Session at PP-RAI 2023.

  • CNN-based Joint State Estimation During Robotic Interaction with Articulated Objects

    CNN-based Joint State Estimation During Robotic Interaction with Articulated Objects

    In this research, we investigate the problem of state estimation of rotational articulated objects during robotic interaction. We estimate the position of a joint axis and the current rotation of an object from a pair of RGB-D images registered by the depth camera mounted on the robot. However, the camera mounted on the robot has…

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