Jason M. O'Kane | DeepAI

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Featured Co-authors

Pratap Tokekar
57 publications
Pooyan Jamshidi
44 publications
Ioannis Rekleitis
22 publications
Dylan A. Shell
22 publications
Nare Karapetyan
20 publications
Yulin Zhang
18 publications
Alberto Quattrini Li
14 publications
Kevin Yu
13 publications
David Garlan
8 publications
Hazhar Rahmani
7 publications
Jason Moulton
7 publications

∙ 01/18/2023

CaRE: Finding Root Causes of Configuration Issues in Highly-Configurable Robots

Robotic systems have several subsystems that possess a huge combinatoria...

5 Md Abir Hossen, et al. ∙

∙ 10/04/2021

AquaVis: A Perception-Aware Autonomous Navigation Framework for Underwater Vehicles

Visual monitoring operations underwater require both observing the objec...

0 Marios Xanthidis, et al. ∙

∙ 09/17/2021

Robust-by-Design Plans for Multi-Robot Pursuit-Evasion

This paper studies a multi-robot visibility-based pursuit-evasion proble...

0 Trevor Olsen, et al. ∙

∙ 04/08/2021

Rapid Recovery from Robot Failures in Multi-Robot Visibility-Based Pursuit-Evasion

This paper addresses the visibility-based pursuit-evasion problem where ...

0 Trevor Olsen, et al. ∙

∙ 03/12/2021

Sensor selection for detecting deviations from a planned itinerary

Suppose an agent asserts that it will move through an environment in som...

0 Hazhar Rahmani, et al. ∙

∙ 02/17/2021

A Visibility Roadmap Sampling Approach for a Multi-Robot Visibility-Based Pursuit-Evasion Problem

Given a two-dimensional polygonal space, the multi-robot visibility-base...

0 Trevor Olsen, et al. ∙

∙ 11/06/2020

Accelerating combinatorial filter reduction through constraints

Reduction of combinatorial filters involves compressing state representa...

0 Yulin Zhang, et al. ∙

∙ 11/04/2020

Planning to Chronicle

An important class of applications entails a robot monitoring, scrutiniz...

0 Hazhar Rahmani, et al. ∙

∙ 08/05/2020

What to Do When You Can't Do It All: Temporal Logic Planning with Soft Temporal Logic Constraints

In this paper, we consider a temporal logic planning problem in which th...

0 Hazhar Rahmani, et al. ∙

∙ 07/07/2020

Coverage of an Environment Using Energy-Constrained Unmanned Aerial Vehicles

We study the problem of covering an environment using an Unmanned Aerial...

0 Kevin Yu, et al. ∙

∙ 09/09/2019

Reality as a simulation of reality: robot illusions, fundamental limits, and a physical demonstration

We consider problems in which robots conspire to present a view of the w...

0 Dylan A. Shell, et al. ∙

∙ 08/07/2019

Riverine Coverage with an Autonomous Surface Vehicle over Known Environments

Environmental monitoring and surveying operations on rivers currently ar...

0 Nare Karapetyan, et al. ∙

∙ 03/28/2019

Navigation in the Presence of Obstacles for an Agile Autonomous Underwater Vehicle

Navigation underwater traditionally is done by keeping a safe distance f...

0 Marios Xanthidis, et al. ∙

∙ 10/09/2018

What does my knowing your plans tell me?

For robots acting in the presence of observers, we examine the informati...

0 Yulin Zhang, et al. ∙

∙ 09/25/2018

Finding plans subject to stipulations on what information they divulge

Motivated by applications where privacy is important, we consider planni...

0 Yulin Zhang, et al. ∙

∙ 08/07/2018

Multi-robot Dubins Coverage with Autonomous Surface Vehicles

In large scale coverage operations, such as marine exploration or aerial...

0 Nare Karapetyan, et al. ∙

∙ 07/23/2018

Toward a language-theoretic foundation for planning and filtering

We address problems underlying the algorithmic question of automating th...

0 Fatemeh Zahra Saberifar, et al. ∙

∙ 06/13/2018

Robot Design: Formalisms, Representations, and the Role of the Designer

The objective of this paper is to distill the following essential idea f...

0 Alexandra Q. Nilles, et al. ∙

∙ 01/30/2018

Analysis of Motion Planning by Sampling in Subspaces of Progressively Increasing Dimension

Despite the performance advantages of modern sampling-based motion plann...

0 Marios P. Xanthidis, et al. ∙

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