activity
20182025
most citedA Behavioral Approach to Visual Navigation with Graph Localization Networks

20 citations · 22 across the 2 of their papers we have counts for

collaborators

6 papers

cs.RO20252 cited

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…

cs.CV2019

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…

cs.RO2019

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…

cs.CV201920 cited

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…

cs.CL2018

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…

cs.RO2018

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…