Ashley Feniello — accepted AI-conference papers

2023

HoloAssist: an Egocentric Human Interaction Dataset for Interactive AI Assistants in the Real World

Xin Wang, Taein Kwon, Mahdi Rad, Bowen Pan, Ishani Chakraborty, Sean Andrist +6

ICCV 2023poster

Building an interactive AI assistant that can perceive, reason, and collaborate with humans in the real world has been a long-standing pursuit in the AI community. This work is part of a broader research effort to develop intelligent agents that can interactively guide humans through performing task…

Cited by 55 PDF ↗code ↗Scholar ↗

2015

Reliable kinect-based navigation in large indoor environments

Mihai Jalobeanu, Greg Shirakyan, Gershon Parent, Harsha Kikkeri, Brian Peasley, Ashley Feniello

ICRA 2015poster

Practical mapping and navigation solutions for large indoor environments continue to rely on relatively expensive range scanners, because of their accuracy, range and field of view. Microsoft Kinect on the other hand is inexpensive, is easy to use and has high resolution, but suffers from high noise…

Cited by 24 Source ↗Scholar ↗