activity
20162025
most citedExperimental Comparison of Open Source Visual-Inertial-Based State Estimation Algorithms in the Underwater Domain

1.1k citations · 1.1k across the 10 of their papers we have counts for

collaborators

10 papers

cs.RO2025

SHRUMS: Sensor Hallucination for Real-time Underwater Motion Planning with a Compact 3D Sonar

Susheel Vadakkekuruppath, Herman B. Amundsen, Lauritz R. Fosso +4

Autonomous navigation in 3D is a fundamental problem for autonomy. Despite major advancements in terrestrial and aerial settings due to improved range sensors including LiDAR, comp…

cs.RO2025

Underwater Dense Mapping with the First Compact 3D Sonar

Chinmay Burgul, Yewei Huang, Michalis Chatzispyrou +3

In the past decade, the adoption of compact 3D range sensors, such as LiDARs, has driven the developments of robust state-estimation pipelines, making them a standard sensor for ae…

cs.CV2022★ 24 cited

High Definition, Inexpensive, Underwater Mapping

Bharat Joshi, Marios Xanthidis, Sharmin Rahman +1

In this paper we present a complete framework for Underwater SLAM utilizing a single inexpensive sensor. Over the recent years, imaging technology of action cameras is producing st…

cs.RO2021

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

Marios Xanthidis, Michail Kalaitzakis, Nare Karapetyan +4

Visual monitoring operations underwater require both observing the objects of interest in close-proximity, and tracking the few feature-rich areas necessary for state estimation.Th…

cs.RO2020

DeepURL: Deep Pose Estimation Framework for Underwater Relative Localization

Bharat Joshi, Md Modasshir, Travis Manderson +5

In this paper, we propose a real-time deep learning approach for determining the 6D relative pose of Autonomous Underwater Vehicles (AUV) from a single image. A team of autonomous…

cs.RO2019★ 1.1k cited

Experimental Comparison of Open Source Visual-Inertial-Based State Estimation Algorithms in the Underwater Domain

Bharat Joshi, Sharmin Rahman, Michail Kalaitzakis +8

A plethora of state estimation techniques have appeared in the last decade using visual data, and more recently with added inertial data. Datasets typically used for evaluation inc…

cs.RO2019

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

Marios Xanthidis, Nare Karapetyan, Hunter Damron +5

Navigation underwater traditionally is done by keeping a safe distance from obstacles, resulting in "fly-overs" of the area of interest. Movement of an autonomous underwater vehicl…

cs.RO2018★ 3 cited

Dynamically Efficient Kinematics for Hyper-Redundant Manipulators

Marios P. Xanthidis, Kostantinos J. Kyriakopoulos, Ioannis Rekleitis

A hyper-redundant robotic arm is a manipulator with many degrees of freedom, capable of executing tasks in cluttered environments where robotic arms with fewer degrees of freedom a…

cs.RO2018★ 2 cited

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

Marios P. Xanthidis, Joel M. Esposito, Ioannis Rekleitis +1

Despite the performance advantages of modern sampling-based motion planners, solving high dimensional planning problems in near real-time remains a challenge. Applications include…

cs.RO2016★ 3 cited

RRT+ : Fast Planning for High-Dimensional Configuration Spaces

Marios Xanthidis, Ioannis Rekleitis, Jason M. O'Kane

In this paper we propose a new family of RRT based algorithms, named RRT+ , that are able to find faster solutions in high-dimensional configuration spaces compared to other existi…