News
08/2025 We will conduct a workshop on "Prediction of Robot Localization Failure" at IPIN 2025 .
Research
Please find a list of my research work below, under review as well as papers ongoing/in preparation below.
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Creating Data-Driven Models for Predicting Localization Failures for Mobile Robots
Markus Knitt*,
Sean Maroofi* ,
Maximilian Schmidt,
Manav Thakkar,
IPIN, 2025
project page
Workshop on predicition of localization loss in dynamic environments for precautionary actions.
MRCD: Mobile Robot Campus Dataset for Evaluating SLAM Algorithms on Wheeled Robots
Justin Ziegenbein*,
Noel Blunder*,
Sean Maroofi* ,
Marko Thiel,
Thien-Minh Nguyen,
Hendrik Rose,
Philipp Braun,
Carlos Jahn
Under Review, 2025
project page /
preprint
A multi-modal outdoor SLAM dataset for wheeled robots in urban environments.
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Dynamic Model Inversion of a Soft Robot using Servo Constraints
Sean Maroofi ,
Malte Grube
Robert Seifried
In Preparation , 2025
preprint
Addressing model inversion for robust dynamic control of underactuated, redundant soft robots.
Integrating Delivery Robots into Public Transport
Marko Thiel,
Noel Blunder,
Sean Maroofi ,
Justin Ziegenbein,
Hendrik Rose,
Workshop on Autonomous Delivery and Service Robots , 05/2025
project page
Industry-Academica dialogue on persistent challenges and restrictions in urban robot applications across Germany.
Projects
Throughout my academic career, I participated in a number of robot projects. Please find a list of my ongoing and completed projects below.
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Flowcean
Sean Maroofi ,
Markus Knitt ,
Maximillian Schmidt ,
Swantje Plambeck ,
Christian Wieck ,
12/2024 - Ongoing ,
Institute of Logistics Engineering , Hamburg University of Technology
github
/
flowcean-ros
A framework that bridges various popular machine learning libraries for developing models for cyber-physical systems in a streamlined fassion.
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TaBuLa-LOGplus
Sean Maroofi ,
Noel Blunder,
Justin Ziegenbein,
Manuel Schrick,
Marko Thiel
06/2024 - 12/2024 ,
Institute of Logistics Engineering , Hamburg University of Technology
project page /
Youtube documentary
Controlling mobile delivery robots and their transport in public service vehicles combining state-machine-design flow and remote control center communication.
Design and Implementation of a framework for Reinforcement Learning
Sean Maroofi ,
Chenran Li ,
Masayoshi Tomizuka,
08/2021 - 02/2023 ,
Mechanical Systems Control Lab , University of California, Berkeley
project page
/
research thesis
Learning steering commands using soft-actor-critic for navigation in dense scenes.
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An Interaction Aware Trajectory Prediction Transformer For Racing
Finn Lukas Busch ,
Sean Maroofi ,
Niklas Trekel ,
Spring 2022 ,
CS282 , University of California, Berkeley
github page
/
technical report
Using visual transformers to predict trajectories of multiple vehicles in autonomous racing.