Research
I am currently working on measuring domain gaps between datasets of images. I want to develop new general
measurement methods and study their applications to problems in computer vision (e.g., having better metrics for
generative models) and robotics (e.g., selecting maps to localise in). Previously, I also worked on multi-robot systems,
SLAM, and object pose estimation.
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What you see is what you get: Experience ranking with deep neural dataset-to-dataset similarity for topological localisation
Matthew Gadd,
Benjamin Ramtoula,
Daniele De Martini
Paul Newman,
ISER, 2023
We experiment with selecting the best maps for localisation by applying domain gap measurement techniques between deployment and mapping images.
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Visual DNA: Representing and Comparing Images using Distributions of Neuron Activations
Benjamin Ramtoula,
Matthew Gadd,
Paul Newman,
Daniele De Martini
CVPR, 2023
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bibtex
We propose a way to represent images so that datasets can be compared with customised distances.
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Towards Collaborative Simultaneous Localization and Mapping: a Survey of the Current
Research Landscape
Pierre-Yves Lajoie,
Benjamin Ramtoula,
Fang Wu,
Giovanni Beltrame
Field Robotics, 2022
A survey of the state of collaborative SLAM.
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NeBula: Quest for Robotic Autonomy in Challenging Environments; TEAM CoSTAR at the DARPA
Subterranean Challenge
Ali Agha,
Kyohei Otsu,
Benjamin Morrell,
David D. Fan,
Rohan Thakker,
Angel Santamaria-Navarro,
Sung-Kyun Kim,
Amanda Bouman,
Xianmei Lei,
Jeffrey Edlund,
Muhammad Fadhil Ginting,
Kamak Ebadi,
Matthew Anderson,
Torkom Pailevanian,
Edward Terry,
Michael Wolf,
Andrea Tagliabue,
Tiago Stegun Vaquero,
Matteo Palieri,
Scott Tepsuporn,
Yun Chang,
Arash Kalantari,
Fernando Chavez,
Brett Lopez,
Nobuhiro Funabiki,
Gregory Miles,
Thomas Touma,
Alessandro Buscicchio,
Jesus Tordesillas,
Nikhilesh Alatur,
Jeremy Nash,
William Walsh,
Sunggoo Jung,
Hanseob Lee,
Christoforos Kanellakis,
John Mayo,
Scott Harper,
Marcel Kaufmann,
Anushri Dixit,
Gustavo Correa,
Carlyn Lee,
Jay Gao,
Gene Merewether,
Jairo Maldonado-Contreras,
Gautam Salhotra,
Maira Saboia Da Silva,
Benjamin Ramtoula,
Yuki Kubo,
Seyed Fakoorian,
Alexander Hatteland,
Taeyeon Kim,
Tara Bartlett,
Alex Stephens,
Leon Kim,
Chuck Bergh,
Eric Heiden,
Thomas Lew,
Abhishek Cauligi,
Tristan Heywood,
Andrew Kramer,
Henry A. Leopold,
Chris Choi,
Shreyansh Daftry,
Olivier Toupet,
Inhwan Wee,
Abhishek Thakur,
Micah Feras,
Giovanni Beltrame,
George Nikolakopoulos,
David Shim,
Luca Carlone,
Joel Burdick
Field Robotics, 2022
Presentation of our team's solution for the DARPA SubT Challenge.
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On the Communication Requirements of Decentralized Connectivity Control: A Field
Experiment
Jacopo Panerati,
Benjamin Ramtoula,
David St-Onge,
Yanjun Cao,
Marcel Kaufmann,
Aidan Cowley,
Lorenzo Sabattini,
Giovanni Beltrame
DARS, 2022
Practical study of communication in a multi-robot system.
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MSL-RAPTOR: A 6DoF Relative Pose Tracker for Onboard Robotic Perception
Benjamin Ramtoula*,
Adam Caccavale*,
Giovanni Beltrame,
Mac Schwager
ISER, 2020
An approach for estimating the 6DoF pose of objects from monocular images using hardware onboard a
drone.
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DOOR-SLAM: Distributed, Online, and Outlier Resilient SLAM for Robotic Teams
Pierre-Yves Lajoie,
Benjamin Ramtoula,
Yun Chang,
Luca Carlone
Giovanni Beltrame
RA-L, 2020
video
A fully distributed collaborative SLAM system with an outlier rejection mechanism.
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CAPRICORN: Communication Aware Place Recognition using Interpretable Constellations of
Objects in Robot Networks
Benjamin Ramtoula*,
Ricardo de Azambuja*,
Giovanni Beltrame,
ICRA, 2020
An approach to do place recognition between multiple robots with minimal communication using a
semantic representation of object layouts in scenes.
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Planetary Exploration with Robot Teams: Implementing Higher Autonomy With Swarm
Intelligence
David St-Onge,
Marcel Kaufmann,
Jacopo Panerati,
Benjamin Ramtoula,
Yanjun Cao,
Emily BJ
Coffey,
Giovanni Beltrame,
IEEE Robotics & Automation Magazine, 2019
Description of our experiments as part of ESA's PANGAEA-X campaign, studying the cognitive load of
astronauts to control fleets of robots in a Mars analog field experiment.
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Website adapted from Jon Barron's,
thanks to
him for sharing!
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