hertzberg
From 2004 until his retirement in October 2024, Joachim Hertzberg was a full professor for computer science at Osnabrück University (UOS), heading the group Knowledge-Based Systems. He was also affiliated with the German Research Center for Artificial Intelligence ( DFKI) in Osnabrück, serving as head of the Research Department on Plan-Based Robot Control in Osnabrück (2011–24), and as the inaugural managing director of the DFKI Niedersachsen branch (2022-24). He has graduated in Computer Science (diploma, Dr.rer.nat., habilitation). Awards for his work include the EurAi fellowship, received in 2014. His research areas are AI and Mobile Robotics, specifically plan-based robot control and sensor data interpretation; the research gets applied, e.g., in agricultural robotics, production, and logistics. After his retirement, he remains interested in all these areas.
Prof. Dr. Joachim Hertzberg
Wachsbleiche 27
49090 Osnabrück
Phone: +49 541/969-2622
Born 1958 in Kiel/Germany, final secondary-school examinations (“Abitur”) in Kiel 1977, studied Computer Science (“Informatik”) with secondary subject Law (“Rechtswissenschaft”) 1977–1982 at Technical University Braunschweig (until pre-degree, “Vordiplom”, 1979) and University of Bonn.
University Education
1982 Diploma Computer Science (“Dipl.-Inform.”), University of Bonn
1986 Doctorate (Dr. rer. Nat.), University of Bonn
1995 Habilitation in Computer Science, University of Hamburg
Employment
1982–86 Scientific Assistant, Computer Science Department, University of Bonn
1986–2001 Research Scientist at GMD (German National Research Center for Information Technology)
1993 Guest Researcher, International Computer Science Institute (ICSI), Berkeley
1993–94 Substitute Full Professor (C4-Lehrstuhlvertreter), Computer Science Faculty, Dortmund University
1996 Visiting Lecturer, Computer Science Department, University of Auckland, NZ
1998–2004 External lecturer (Privatdozent), University of Bonn, Computer Science Dept.
2001–04 Research Scientist at Fraunhofer Institute Autonomous Intelligent Systems (AIS, now IAIS)
2004–24 Full Professor for Computer Science (Knowledge-Based Systems) at Osnabrück University
2007–09 Dean of the School of Mathematics and Computer Science, Osnabrück University
2011–24 Head of research group Plan-Based Robot Control (PBR), German Research Center for Artificial Intelligence (DFKI), Osnabrück
2014 Visiting Lecturer, Universitá La Sapienza, Rome, Dept. Computer, Control, and Management Engineering Antonio Ruberti (DIAG)
2019–22 Head of DFKI Niedersachsen Lab (Osnabrück and Oldenburg), consisting of four research groups, including own PBR group
2022–24 Inaugural Managing Director of DFKI Niedersachsen (Osnabrück and Oldenburg), consisting of four research groups, including own PBR group; member of DFKI Management Board
Since 10/2024 Retired professor for Computer Science at Osnabrück University
Honours (selection)
1983–84 Doctorate grant by German Academic Scholarship Foundation (“Studienstiftung des Deutschen Volkes”)
1992 ICSI Award of GMD for outstanding scientific research
Since 2014 EurAi (formerly ECCAI) Fellow (lifetime award)
2026
2025
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BonaRes (Modul A, Phase 3): SOILAssist - Nachhaltige Sicherung und Verbesserung von Bodenfunktionen durch intelligente Landbewirtschaftung - Ein Echtzeit-Assistenzsystem für die Praxis - Teilprojekt D (Universität Osnabrück)
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Towards Auto-generated Ground Truth for Evaluation of Perception Systems in Agriculture
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Acting and Planning with Hierarchical Operational Models on a Mobile Robot: A Study with RAE+UPOM
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RadaRays: Real-Time Simulation of Rotating FMCW Radar for Mobile Robotics via Hardware-Accelerated Ray Tracing
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Consolidation of Symbolic Instances Using Sensor Data via Tracklet Merging for Long-Term Monitoring of Crops
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Uncertainty-Resilient Active Intention Recognition for Robotic Assistants
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Context-Aware Robotic Assistance for Workers Using Intention Recognition and Semantic Digital Twin
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Hyperspectral band selection using segmented autoencoders for visual quality assessment of food products
2024
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Teilflächenspezifische Beikrautregulierung im ökologischen Landbau am Beispiel Mais (Zea mays L.)
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resKIL - Ressourceneffiziente KI für eingebettete Systeme in Landmaschinen
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MICP-L: Mesh-based ICP for Robot Localization Using Hardware-Accelerated Ray Casting
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Streamlined Acquisition of Large Sensor Data for Autonomous Mobile Robots to Enable Efficient Creation and Analysis of Datasets
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Dynamic Anchoring Agent: A Probabilistic Object Anchoring Framework for Semantic World Modeling
2023
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The Relationship of Field Geometry, Harvester Size, and Traffic Intensity during Wheat Harvesting
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Hyperspectral 3D Point Cloud Segmentation Using RandLA-Net
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Konzeption und Realisierung einer feldbasierten landwirtschaftlichen Versuchsumgebung zur dynamischen Umgebungswahrnehmung
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Towards model-based automation of plant-specific weed regulation
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Evaluation of a decision support system for the recommendation of pasture harvest date and form
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Route-planning in output-material-flow operations using side-headlands
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Scalable Evaluation Pipeline of CNN-Based Perception for Robotic Sensor Data under Different Environment Conditions
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Object Anchoring forAutonomous Robots Using theSpatio-Temporal-Semantic Environment Representation SEEREP
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Rmagine: 3D Range Sensor Simulation in Polygonal Maps via Ray Tracing for Embedded Hardware on Mobile Robots
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Cognitive Weeding: An Approach to Single-Plant Specific Weed Regulation
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Der Dynamic Anchoring Agent : Wissensrepräsentation und Reasoning zur automatischen Wiedererkennung von individuellen Objekten
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AI in Current and Future Agriculture
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Interview: Cyrill Stachniss’ View on AI in Agriculture
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AI in Current and Future Agriculture : An Introductory Overview
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AI-TEST-FIELD - An Agricultural Test Environment for Semantic Environment Perception with Respect to Harsh And Changing Environmental Conditions
2022
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Modeling obesity in complex food systems: Systematic review
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Effects of varying field geometry and machine configurations on spatial field traffic intensity: A case study for winter wheat harvest
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A Spatio-Temporal-Semantic Environment Representation for Autonomous Mobile Robots equipped with various Sensor Systems
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Automated Byproduct Segmentation In Grain Images
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Route-planning in output-material-flow arable farming operations aiming for soil protection
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On the way to a decision support system for the cultivation and harvesting of grassland areas [Auf dem Weg zu einem Entscheidungsunterstützungssystem zur Pflege und Ernte von Grünlandflächen]
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A data mining process for building recommendation systems for agricultural machines based on big data Recommendation system for agricultural machinery application
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The pitfalls of transfer learning in computer vision for agriculture
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Analysis of Combine Harvester Threshing Systems Across Different Climate Regions
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Online Inference of Robot Navigation Parameters from a Semantic Map
2021
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The Mesh Tools Package - Introducing Annotated 3D Triangle Maps in ROS
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Monocular localization in feature-annotated 3d polygon maps
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Overview of a route-planning tool for capacitated field processes in arable farming
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First steps towards a context-sensitive navigation in a long-term autonomous field monitoring system [Erste Schritte zu einer kontextsensitiven Navigation in einem langzeitautonomen Field-Monitoring-System]
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Illumination compensation for classification of hyperspektral 3d point clouds [Beleuchtungsausgleich zur klassifikation auf hyperspektral annotierten 3d-punktwolken]
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Continuous Shortest Path Vector Field Navigation on 3D Triangular Meshes for Mobile Robots
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Embedding semantic relationships in hidden representations via label smoothing
2020
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Hierarchical Modeling with Neurodynamical Agglomerative Analysis
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Automatische Wiedererkennung von individuellen Objekten mit dem Dynamic Anchoring Agent
2019
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A spatio-semantic approach to reasoning about agricultural processes
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Tools for visualizing, annotating and storing triangle meshes in ROS and RViz
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Compressing ROS Sensor and Geometry Messages with Draco
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‘Virtual harvesting' as a key element in the development of a novel LiDAR based combine harvester steering system
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A File Structure and Reference Data Set for High Resolution Hyperspectral 3D Point Clouds
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"Digital twins" as tool for the development of field robots in agricultural processes [„Digitale Zwillinge“als Werkzeug für die Entwicklung von Feldrobotern in landwirtschaftlichen Prozessen]
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Markerless AD-HOC calibration of a hyperspectral camera and a 3D laser scanner
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Planning under uncertainty through goal-driven action selection
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Efficient Planning Under Uncertainty with Incremental Refinement.
2018
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Grounding semantic maps in spatial databases
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Context-aware 3D object anchoring for mobile robots
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Move Base Flex
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Surface reconstruction from arbitrarily large point clouds
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Simulation of laser scanners in plant populations for the development of environment-based functions [Simulation von Laserscannern in Pflanzenbeständen für die Entwicklung umfeldbasierter Funktionen]
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Towards domain-independent biases for action selection in robotic task-planning under uncertainty
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A spatio-semantic model for agricultural environments and machines
2017
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AI, Kitsch, and Communication
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Model-based furniture recognition for building semantic object maps
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Plant classification with In-Field-Labeling for crop/weed discrimination using spectral features and 3D surface features from a multi-wavelength laser line profile system
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A multilevel simulation framework for highly automated harvest processes enabled by environmental sensor systems
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Practical assumptions for planning under uncertainty
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Online context-based object recognition for mobile robots
2016
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AI reasoning methods for robotics
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Towards a flexible hybrid planner for machine coordination in arable farming
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Methods for generating scan poses to optimally complete partially acquired 3D scenes [Methoden zur Bestimmung optimal ergänzender Scanposen in unvollständig erfassten 3D-Szenen]
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Online Mesh Optimization for Large Scale KinectFusion Meshes
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3D Navigation Mesh Generation for Path Planning in Uneven Terrain
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Optimizing Triangle Mesh Reconstructions of Planar Environments
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Real time texture generation in optimized large-scale polygon meshes with KinectFusion
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Data handling in large-scale surface reconstruction
2015
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An Extended Evaluation of Open Source Surface Reconstruction Software for Robotic Applications
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The Role of Functional Affordances in Socializing Robots
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Integrating physics-based prediction with Semantic plan Execution Monitoring
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Online task merging with a hierarchical hybrid task planner for mobile service robots
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SEMAP - A semantic environment mapping framework
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Generating topologically consistent triangle meshes from large scale Kinect Fusion
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Abducing hypotheses about past events from observed environment changes
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Hierarchical hybrid planning in a mobile service robot
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Abstrakte virtuelle Illusionen für die Schlaganfalltherapie : wie mit Hilfe virtueller Umgebungen motorisches Lernen gefördert werden kann
2014
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The RACE Project: Robustness by Autonomous Competence Enhancement
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Finding ways to get the job done: An affordance-based approach
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Generating and executing hierarchical mobile manipulation plans
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Integrating semantic information in navigational planning
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Generating and Executing Hierarchical Mobile Manipulation Plans
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Multiwavelength laser line profile sensing for agricultural crop characterization
2013
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Building semantic object maps from sparse and noisy 3D data
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Automatic creation and application of texture patterns to 3D polygon maps
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Spatio-Temporally Constrained Planning for Cooperative Vehicles in a Harvesting Scenario
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Beacons and flow heaters [Leuchttürme und Durchlauferhitzer]
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From Object Recognition to Activity Interpretation and Back, Based on Point Cloud Data
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An evaluation of open source surface reconstruction software for robotic applications
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Automatic map creation for environment modelling in robotic simulators
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Encoding HTN heuristics in PDDL planning instances (extended abstract)
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An ontology-based multi-level robot architecture for learning from experiences
2012
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Online scheduling of flexible job-shops with blocking and transportation
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A toolkit for automatic generation of polygonal maps - Las vegas reconstruction
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Approximating reference trajectories for autonomous vehicles using motion primitives
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Hybrid reasoning in perception: A case study
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Zum Einstieg: Worum geht es?
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Lokalisierung in Karten
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Sensorik
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Navigation
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Mobile Roboter
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Fortbewegung
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Kartierung
2011
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Could positive affect help engineer robot control systems?
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A Heuristic Loop Closing Technique for Large-Scale 6D SLAM
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Model-based object recognition from 3D laser data
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The problem of spatio-temporally constrained motion planning for cooperative vehicles
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A heuristic loop closing technique for large-scale 6D SLAM [Heuristi ̌cka metoda zatvaranja petlje za 6D SLAM velikih dimenzija]
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Unter Modulhandbuchhaltern und Sprintstudierenden – Wer studiert heute KI? Und warum?
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On the impact of embedded knowledge-based systems
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Neue Bücher in der Reihe DISKI: Dissertationen zur Künstlichen Intelligenz Editor-in-Chief: Wolfgang Bibel
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KI-Systeme zu Lande, zu Wasser und in der Luft
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Matching CAD Object Models in Semantic Mapping
2010
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Automatic construction of polygonal maps from point cloud data
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3D robotic mapping in Osnabrück [3D-Roboterkartenbau in Osnabrück]
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How does one attract journal authors? [Wie lockt man Zeitschriftenautoren?]
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LiSA: On the way to safe assistant robotics [LiSA: Auf dem Weg zur sicheren Assistenzrobotik]
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Towards real time robot 6D localization in a polygonal indoor map based on 3D ToF camera data
2009
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Three-dimensional mapping with time-of-flight cameras
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On the benefit of fusing DL-reasoning with HTN-planning
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Virtual range scan for avoiding 3D obstacles using 2D tools
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Evaluation of 3D registration reliability and speed-A comparison of ICP and NDT
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An Explicit Loop Closing Technique for 6D SLAM.
2008
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Globally consistent 3D mapping with scan matching
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Towards semantic maps for mobile robots
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Benchmarking urban six-degree-of-freedom simultaneous localization and mapping
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Using semantic knowledge in robotics
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Evaluating a 3D camera for RoboCup rescue
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Fusing DL reasoning with HTN planning
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Does it help a robot navigate to call navigability an affordance?
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The MACS project: An approach to affordance-inspired robot control
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The efficient extension of globally consistent scan matching to 6 DoF
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Action-Planning in the MACS Robot Control Architecture
2007
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6D SLAM-3D mapping outdoor environments
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Augmenting JSHOP2 planning with OWL-DL
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Ground truth evaluation of large Urban 6D SLAM
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Cached k-d tree search for ICP algorithms
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Safe navigation in dynamic environments with 3D collision avoidance [Sicheres Navigieren in dynamischen Umgebungen mit 3D-Kollisionsvermeidung]
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6D SLAM with cached K -D tree search
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Real-time outdoor trail detection on a mobile robot
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6D SLAM—3D mapping outdoor environments: Research Articles
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Salient Visual Features to Help Close the Loop i n 6D SLAM
2006
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3D mapping with semantic knowledge
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Extracting drivable surfaces in outdoor 6D slam
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Contour-based object detection in range images
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Proceedings of the 2006 international conference on Towards affordance-based robot control
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Towards Affordance-based Robot Control Dagstuhl Seminar 06231 June 5–9, 2006
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Device level simulation of kurt3d rescue robots : Third Intl. Workshop on Synthetic Simulation and Robotics to Mitigate Earthquake Disaster (SRMED 2006). CDROM Proceedings
2005
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High-speed laser localization for mobile robots
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Heuristic-based laser scan matching for outdoor 6D SLAM
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USARSIM - Game engines in the teaching of robotics [USARSIM - Game-Engines in der Robotik-Lehre]
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Offering existing AI planners as web services
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Accurate object localization in 3D laser range scans
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6D SLAM with approximate data association
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Mapping of rescue environments with Kurt3D
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Simultanous mapping and localization of rescue environments [Gleichzeitiges kartieren und lokalisieren von rescue-umgebungen]
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USARSIM – Game-Engines in der Robotik-Lehre
Please refer to the permanently updated lists in the usual public sites, such as:
- Google Scholar https://scholar.google.com/citations?user=4978xwoAAAAJ&hl=en
- DBLP computer science bibliography https://dblp.uni-trier.de/pid/12/5979.html
- ORCID https://orcid.org/0000-0002-6371-9624
Regular teaching has spanned over introductory AI, Robotics, and Knowledge-Based Systems topics.