Publications

2026

A General Safety Framework for Autonomous Manipulation in Human Environments
Journal IEEE Transactions on Robotics

A General Safety Framework for Autonomous Manipulation in Human Environments

J. Thumm, J. Balletshofer, L. Maglanoc, L. Muschal, M. Althoff

article Paper
From Demonstrations to Safe Deployment: Path-Consistent Safety Filtering for Diffusion Policies
Conference IEEE Int. Conf. on Robotics and Automation (ICRA)

From Demonstrations to Safe Deployment: Path-Consistent Safety Filtering for Diffusion Policies

R. Römer, J. Balletshofer, J. Thumm, M. Pavone, A. P. Schoellig, M. Althoff

article Paper

2025

Multi-Objective Causal Bayesian Optimization
Conference Int. Conf. on Machine Learning (ICML)

Multi-Objective Causal Bayesian Optimization

S. Bhatija, P.-D. Zuercher, J. Thumm, T. Bohné

article Paper

2024

Excluding the Irrelevant: Focusing Reinforcement Learning through Continuous Action Masking
Conference Conf. on Neural Information Processing Systems (NeurIPS)

Excluding the Irrelevant: Focusing Reinforcement Learning through Continuous Action Masking

R. Stolz, H. Krasowski, J. Thumm, M. Eichelbeck, P. Gassert, M. Althoff

article Paper
Text2Interaction: Establishing Safe and Preferable Human-Robot Interaction
Conference Annual Conf. on Robot Learning (CoRL)

Text2Interaction: Establishing Safe and Preferable Human-Robot Interaction

J. Thumm, C. Agia, M. Pavone, M. Althoff

article Paper language Website
Human-Robot Gym: Benchmarking Reinforcement Learning in Human-Robot Collaboration
Conference IEEE Int. Conf. on Robotics and Automation (ICRA)

Human-Robot Gym: Benchmarking Reinforcement Learning in Human-Robot Collaboration

J. Thumm, F. Trost, M. Althoff

article Paper

2023

Provably Safe Reinforcement Learning: Conceptual Analysis, Survey, and Benchmarking
Journal Transactions on Machine Learning Research (TMLR)

Provably Safe Reinforcement Learning: Conceptual Analysis, Survey, and Benchmarking

H. Krasowski, J. Thumm, M. Müller, L. Schäfer, X. Wang, M. Althoff

article Paper
Reducing Safety Interventions in Provably Safe Reinforcement Learning
Conference IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS)

Reducing Safety Interventions in Provably Safe Reinforcement Learning

J. Thumm, G. Pelat, M. Althoff

article Paper
Approximate First-Passage Time Distributions for Gaussian Motion and Transportation Models
Conference Int. Conf. on Information Fusion (FUSION)

Approximate First-Passage Time Distributions for Gaussian Motion and Transportation Models

M. Reith-Braun, F. Pfaff, J. Thumm, U. D. Hanebeck

article Paper

2022

SaRA: A Tool for Safe Human–Robot Coexistence and Collaboration through Reachability Analysis
Conference IEEE Int. Conf. on Robotics and Automation (ICRA)

SaRA: A Tool for Safe Human–Robot Coexistence and Collaboration through Reachability Analysis

S. Schepp, J. Thumm, S. B. Liu, M. Althoff

article Paper
Provably Safe Deep Reinforcement Learning for Robotic Manipulation in Human Environments
Conference IEEE Int. Conf. on Robotics and Automation (ICRA)

Provably Safe Deep Reinforcement Learning for Robotic Manipulation in Human Environments

J. Thumm, M. Althoff

article Paper
Mixture of Experts of Neural Networks and Kalman Filters for Optical Belt Sorting
Journal IEEE Transactions on Industrial Informatics

Mixture of Experts of Neural Networks and Kalman Filters for Optical Belt Sorting

J. Thumm, M. Reith-Braun, F. Pfaff, U. D. Hanebeck, M. Flitter, G. Maier, R. Gruna, T. Langle, A. Bauer, H. Kruggel-Emden

article Paper

2020

A Novel Approach to Label Road Defects in Video Data: Semi-Automated Video Analysis
Journal International Journal on Smart Sensing and Intelligent Systems

A Novel Approach to Label Road Defects in Video Data: Semi-Automated Video Analysis

J. Thumm, J. Masino, M. Knoche, F. Gauterin, M. Reischl

article Paper

2019

Parking Events Derived From Trip Data from MiD2008
Dataset Dataset

Parking Events Derived From Trip Data from MiD2008

J. Huber, J. Höffer, J. Thumm, C. Weinhardt

article Paper

2018

Characterization of Road Condition with Data Mining Based on Measured Kinematic Vehicle Parameters
Journal Journal of Advanced Transportation

Characterization of Road Condition with Data Mining Based on Measured Kinematic Vehicle Parameters

J. Masino, J. Thumm, G. Levasseur, M. Frey, F. Gauterin, R. Mikut, M. Reischl

article Paper
Multiple Vehicle Fusion for a Robust Road Condition Estimation Based on Vehicle Sensors and Data Mining
Journal Cogent Engineering

Multiple Vehicle Fusion for a Robust Road Condition Estimation Based on Vehicle Sensors and Data Mining

J. Hofmockel, J. Masino, J. Thumm, E. Sax, F. Gauterin

article Paper

2017

Learning from the Crowd: Road Infrastructure Monitoring System
Journal Journal of Traffic and Transportation Engineering

Learning from the Crowd: Road Infrastructure Monitoring System

J. Masino, J. Thumm, M. Frey, F. Gauterin

article Paper