Object Segmentation through Human-Robot Interactions in the Frequency Domain
MASSACHUSETTS INST OF TECH CAMBRIDGE ARTIFICIAL INTELLIGENCE LAB
Pagination or Media Count:
This paper presents a new embodied approach for object segmentation by a humanoid robot. It relies on interactions with a human teacher that drives the robot through the process of segmenting objects from arbitrarily complex, nonstatic images. Objects from a large spectrum of different scenarios are successfully segmented by the proposed algorithms. The paper discusses embodied object segmentation detection of events in the frequency domain, including event detection, tracking, and multi-scale periodic detection segmentation by passive demonstration segmentation through active actuation segmentation by poking experimental results for object segmentation in terms of robustness and conclusions and future work.
- Anatomy and Physiology