activity
20212026
most citedUncertainty-Aware Guidance for Target Tracking subject to Intermittent Measurements using Motion Model Learning

2 citations · 2 across the 3 of their papers we have counts for

collaborators

5 papers

cs.RO2026

CoPlanVLM: Coordinated Path Planning for a Robot Team using Vision Language Models

David R. Martin, Jared Paquet, Mohammad Abdullah Al Faruque +4

We present CoPlanVLM, which uses a Vision Language Model (VLM) to translate a single natural-language instruction and image into coordinated paths for a team of two robots. While V…

eess.SY2025

A Switched Systems Approach to Image-Based Feature Tracking for Autonomous Satellite Inspection

Tochukwu Elijah Ogri, Muzaffar Qureshi, Zachary I. Bell +3

This paper presents an information-based guidance and control architecture for an autonomous deputy spacecraft tasked with inspecting a chief satellite in orbit. The primary object…

eess.SY2024★ 2 cited

Uncertainty-Aware Guidance for Target Tracking subject to Intermittent Measurements using Motion Model Learning

Andres Pulido, Kyle Volle, Kristy Waters +3

This paper presents a novel guidance law for target tracking applications where the target motion model is unknown and sensor measurements are intermittent due to unknown environme…

eess.SY2022

Information-Aware Guidance for Magnetic Anomaly based Navigation

J. Humberto Ramos, Jaejeong Shin, Kyle Volle +3

In the absence of an absolute positioning system, such as GPS, autonomous vehicles are subject to accumulation of positional error which can interfere with reliable performance. Im…

cs.GR2021

Volumetric Procedural Models for Shape Representation

Andrew Willis, Prashant Ganesh, Kyle Volle +2

This article describes a volumetric approach for procedural shape modeling and a new Procedural Shape Modeling Language (PSML) that facilitates the specification of these models. P…