Spatial robot vision: spatial representation learning for geometric reasoning

Aktivität: Vortrag ohne Tagungsband / VorlesungPräsentation auf einer wissenschaftlichen Konferenz / Workshop


Our world is structured, exhibiting diverse and time-varying structural patterns. This vast variability enormously complicates the task of capturing descriptive representations of the world via learning, especially when targeting representations which hold a broad validity. Robotic applications rely on such representations to perceive specific attributes of the environment. This perception process leads to robotic skills such as navigation and object manipulation. In the first part of the lecture common approaches for pose-aware object detection will be addressed. In the second part, diverse applied examples of learned geometric reasoning in challenging task settings will be presented and analyzed.
Zeitraum7 Juli 202216 Juli 2022
Ereignistitel30th Summer School on Image Processing

Research Field

  • Assistive and Autonomous Systems


  • time-varying patterns
  • robotic application