Vision-Based Holistic Scene Understanding for Proactive Human-Robot Collaboration

EasyChair Preprint no. 11783

Abstract

This research delves into advancing the capabilities of vision-based systems for holistic scene understanding in the context of human-robot collaboration. The integration of computer vision techniques aims to endow robots with enhanced perception and comprehension of complex environments. By leveraging state-of-the-art algorithms, the system achieves not only object recognition but also an understanding of the broader scene context. The holistic scene understanding facilitates proactive interactions between robots and humans, enabling more intuitive and efficient collaboration. This research emphasizes the significance of real-time analysis and decision-making, fostering a seamless exchange of information between human collaborators and robotic agents.

Keyphrases: based, scene, vision

@Booklet{EasyChair:11783,
  author = {Kurez Oroy and Chen Li},
  title = {Vision-Based Holistic Scene Understanding for Proactive Human-Robot Collaboration},
  howpublished = {EasyChair Preprint no. 11783},

  year = {EasyChair, 2024}}