69 citations · 137 across the 12 of their papers we have counts for
14 papers
Cognitive Approach to Hierarchical Task Selection for Human-Robot Interaction in Dynamic Environments
Syed T. Bukhari, Bashira Akter Anima, David Feil-Seifer +1
In an efficient and flexible human-robot collaborative work environment, a robot team member must be able to recognize both explicit requests and implied actions from human users.…
WIP: Development of a Student-Centered Personalized Learning Framework to Advance Undergraduate Robotics Education
Ponkoj Chandra Shill, Rui Wu, Hossein Jamali +4
This paper presents a work-in-progress on a learn-ing system that will provide robotics students with a personalized learning environment. This addresses both the scarcity of skill…
Vehicle-To-Pedestrian Communication Feedback Module: A Study on Increasing Legibility, Public Acceptance and Trust
Melanie Schmidt-Wolf, David Feil-Seifer
Vehicle pedestrian communication is extremely important when developing autonomy for an autonomous vehicle. Enabling bidirectional nonverbal communication between pedestrians and a…
A Deep Learning Approach To Multi-Context Socially-Aware Navigation
Santosh Balajee Banisetty, Vineeth Rajamohan, Fausto Vega +1
We present a context classification pipeline to allow a robot to change its navigation strategy based on the observed social scenario. Socially-Aware Navigation considers social be…
Using Machine Learning Approach for Computational Substructure in Real-Time Hybrid Simulation
Elif Ecem Bas, Mohamed A. Moustafa, David Feil-Seifer +1
Hybrid simulation (HS) is a widely used structural testing method that combines a computational substructure with a numerical model for well-understood components and an experiment…
Socially-Aware Navigation: A Non-linear Multi-Objective Optimization Approach
Santosh Balajee Banisetty, Scott Forer, Logan Yliniemi +2
Mobile robots are increasingly populating homes, hospitals, shopping malls, factory floors, and other human environments. Human society has social norms that people mutually accept…