Robotic perception
Robotic perception
Robotic perception

Media

  • Learning-Based Foot-Shape-Aware Foothold Selection for Quadrupedal Robots

    Mastering rough terrain locomotion is a tough challenge for robots due to its dynamic, unpredictable nature and frequent physical contact. Traditionally, robots rely on carefully planned foot placements to maintain grip and stability. Recent advancements in quadruped robot feet offer diverse shapes and high grip for various terrains. However, control systems and planners often struggle…

  • 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.

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