60 citations · 153 across the 9 of their papers we have counts for
9 papers
Let's move on: Topic Change in Robot-Facilitated Group Discussions
Georgios Hadjiantonis, Sarah Gillet, Marynel Vázquez +2
Robot-moderated group discussions have the potential to facilitate engaging and productive interactions among human participants. Previous work on topic management in conversationa…
Learning Human Preferences Over Robot Behavior as Soft Planning Constraints
Austin Narcomey, Nathan Tsoi, Ruta Desai +1
Preference learning has long been studied in Human-Robot Interaction (HRI) in order to adapt robot behavior to specific user needs and desires. Typically, human preferences are mod…
REACT: Two Datasets for Analyzing Both Human Reactions and Evaluative Feedback to Robots Over Time
Kate Candon, Nicholas C. Georgiou, Helen Zhou +4
Recent work in Human-Robot Interaction (HRI) has shown that robots can leverage implicit communicative signals from users to understand how they are being perceived during interact…
Principles and Guidelines for Evaluating Social Robot Navigation Algorithms
Anthony Francis, Claudia Pérez-D'Arpino, Chengshu Li +28
A major challenge to deploying robots widely is navigation in human-populated environments, commonly referred to as social robot navigation. While the field of social navigation ha…
Improving Social Awareness Through DANTE: A Deep Affinity Network for Clustering Conversational Interactants
Mason Swofford, John Charles Peruzzi, Nathan Tsoi +4
We propose a data-driven approach to detect conversational groups by identifying spatial arrangements typical of these focused social encounters. Our approach uses a novel Deep Aff…
Deep Local Trajectory Replanning and Control for Robot Navigation
Ashwini Pokle, Roberto Martín-Martín, Patrick Goebel +8
We present a navigation system that combines ideas from hierarchical planning and machine learning. The system uses a traditional global planner to compute optimal paths towards a…
A Behavioral Approach to Visual Navigation with Graph Localization Networks
Kevin Chen, Juan Pablo de Vicente, Gabriel Sepulveda +4
Inspired by research in psychology, we introduce a behavioral approach for visual navigation using topological maps. Our goal is to enable a robot to navigate from one location to…
Translating Navigation Instructions in Natural Language to a High-Level Plan for Behavioral Robot Navigation
Xiaoxue Zang, Ashwini Pokle, Marynel Vázquez +4
We propose an end-to-end deep learning model for translating free-form natural language instructions to a high-level plan for behavioral robot navigation. We use attention models t…
GONet: A Semi-Supervised Deep Learning Approach For Traversability Estimation
Noriaki Hirose, Amir Sadeghian, Marynel Vázquez +2
We present semi-supervised deep learning approaches for traversability estimation from fisheye images. Our method, GONet, and the proposed extensions leverage Generative Adversaria…