Universität Bonn           

BMFTR Project Robotics Institute Germany (RIG)

Robotics Intstitute Germany (RIG)                                         Gefördert vom Bundesministerium für Bildung und Forschung (BMBF)Funding ID: 16ME0999

The BMFTR-funded project "Robotics Institute Germany (RIG)" connects leading robotics labs across Germany to enhance their international visibility, attract talent, and accelerate progress in AI-powered robotics. [Press release]

The RIG project partners are:

  • TU Munich (Coordinator)
  • Karlsruhe Institute of Technology (KIT)
  • University of Bonn
  • TU Berlin
  • TU Darmstadt
  • University of Bremen
  • University of Stuttgart
  • RWTH Aachen University
  • TU Dresden
  • TU Nuremberg
  • Max Planck Institute for Intelligent Systems
  • German Aerospace Center (DLR)
  • Fraunhofer Institutes IPA, IOSB, and IML
  • German Research Center for Artificial Intelligence (DFKI)
RIG Kickoff Meeting, (c) TU München

Sub-project University of Bonn

The  principal investigators at the University of Bonn are:

Publications

Jonas Bode, Raphael Memmesheimer, and Sven Behnke:
EL3DD: Extended Latent 3D Diffusion for Language Conditioned Multitask Manipulation
In: European Robotics Forum (ERF), Stavanger, Norway, March 2026.

Evgenii Kruzhkov, Raphael Memmesheimer, and Sven Behnke:
OMCL: Open-vocabulary Monte Carlo Localization
IEEE Robotics and Automation Letters 11(3): 2698-2705, December 2025.

Murad Dawood, Usama A. Siddiquie, Shahram Khorshidi, and Maren Bennewitz:
Constraint-Aware Reinforcement Learning via Adaptive Action Scaling 
Preprint arXiv: 2510.11491, October 2025.

Benno Wingender, Nils Dengler, Rohit Menon, Sicong Pan, and Maren Bennewitz:
A Generalized Placeability Metric for Model-Free Unified Pick-and-Place Reasoning 
Preprint arXiv: 2510.14584, October 2025.

Nils Dengler, Jesper Mücke, Rohit Menon, and Maren Bennewitz:
Efficient Manipulation-Enhanced Semantic Mapping with Uncertainty-Informed Action Selection
In: IEEE-RAS 24th International Conference on Humanoid Robots (Humanoids), Seoul, Korea, October 2025.

Tiziani Guadagnino, Benedikt Mersch, Saurabh Gupta, Ignacio Vizzo, Giorgio Grisetti, and Cyrill Stachniss:
KISS-SLAM: A Simple, Robust, and Accurate 3D LiDAR SLAM System With Enhanced Generalization Capabilities
In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hangzhou, China, October 2025.

Rohit Menon, Nils Dengler, Sicong Pan, Gokul Krishna Chenchani, and Maren Bennewitz:
EvidMTL: Evidential Multi-Task Learning for Uncertainty-Aware Semantic Surface Mapping from Monocular RGB Images
In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hangzhou, China, October 2025.

Rohit Menon, Yasmin Schmiede, Maren Bennewitz, and Hermann Blum:
Open-Vocabulary and Semantic-Aware Reasoning for Search and Retrieval of Objects in Dynamic and Concealed Spaces
In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hangzhou, China, October 2025.

Sicong Pan, Xuying Huang, and Maren Bennewitz:
Temporal-Prior-Guided View Planning for Periodic 3D Plant Reconstruction 
In: Active Perception Workshop in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hangzhou, China, October 2025.

Matteo Sodano, Federico Magistri, Elias Marks, Fares Hosn, Aibek Zubayev, Rodrigo Marcuzzi, Meher V. R. Malladi, Jens Behley, and Cyrill Stachniss:
3D Hierarchical Panoptic Segmentation in Real Orchard Environments Across Different Sensors
In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hangzhou, China, October 2025.

Niklas Trekel, Tiziano Guadagnino, Thomas Läbe, Louis Wiesmann, Perrine Aguiar, Jens Behley, and Cyrill Stachniss:
Benchmark for Evaluating Long-Term Localization in Indoor Environments Under Substantial Static and Dynamic Scene Changes
In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hangzhou, China, October 2025.

Benedikt Kreis, Malte Mosbach, Anny Ripke, M. Ehsan Ullah, Sven Behnke, and Maren Bennewitz:
Interactive Shaping of Granular Media Using Reinforcement Learning 
In: IEEE-RAS 24th International Conference on Humanoid Robots (Humanoids), Seoul, Korea, October 2025.

Utkarsh Bajpai, Julius Rückin, Cyrill Stachniss, and Marija Popvić:
Uncertainty-Informed Active Perception for Open Vocabulary Object Goal Navigation
In: European Conference on Mobile Robots (ECMR), Padua, Italy, September 2025.

Sumanth Nagulavancha, Dhagash Desai, Saurabh Gupta, Luca Lobefaro, Cyrill Stachniss, Ignacio Vizzo, and Tiziano Guadagnino:
Revisiting Fast and Accurate RGB-D Odometry for Real-World Use by Embracing Simplicity
In: European Conference on Mobile Robots (ECMR), Padua, Italy, September 2025.

Hendrik Surmann, Jorge de Heuvel, and Maren Bennewitz:
Multi-Objective Reinforcement Learning for Adaptable Personalized Autonomous Driving
In: European Conference on Mobile Robots (ECMR), Padua, Italy, September 2025.

Meher V. R. Malladi, Tiziano Guadagnino, Luca Lobefaro, and Cyrill Stachniss:
A Robust Approach for LiDAR-Inertial Odometry Without Sensor-Specific Modeling 
Preprint arXiv:2509.06593, September 2025.

Esra Guclu, Michael Halstead, Simon Denman, and Chris McCool:
Weakly labelled spatial-temporal sweet pepper data: Enabling higher quality detection, segmentation, and tracking
The International Journal of Robotics Research 0(0), September 2025.

Yue Pan, Xingguang Zhong, Liren Jin, Louis Wiesmann, Marija Popvić, Jens Behley, and Cyrill Stachniss:
PINGS: Gaussian Splatting Meets Distance Fields within a Point-Based Implicit Neural Map 
In: Robotics: Science and Systems (RSS), Los Angeles, USA, September 2025.

Grzegorz Ficht, Luis Denninger, and Sven Behnke:
AGILOped: Agile Open-Source Humanoid Robot for Research
10th IEEE International Conference on Advanced Robotics and Mechatronics (ARM), Portsmouth, UK, August 2025.

Jorge de Heuvel, Sebastian Müller, Marlene Wessels, Aftab Akhtar, Christian Bauckhage, and Maren Bennewitz:
Immersive Explainability: Visualizing Robot Navigation Decisions through XAI Semantic Scene Projections in Virtual Reality
In: IEEE 34th International Conference on Robot and Human Interactive Communication (RO-MAN), Eindhoven, Netherlands, August 2025.

Vincent Schoenbach, Marvin Wiedemann, Raphael Memmesheimer, Malte Mosbach, and Sven Behnke:
Integration of the TIAGo Robot into Isaac Sim with Mecanum Drive Modeling and Learned S-Curve Velocity Profiles
In: IEEE 21st International Conference on Automation Science and Engineering (CASE), Los Angeles, USA, August 2025.

Malte Mosbach, Jan Ewertz, Angel Villar-Corrales, and Sven Behnke:
SOLD: Slot Object-Centric Latent Dynamics Models for Relational Manipulation Learning from Pixels 
In: International Conference on Machine Learning (ICML), Vancouver, Canada, July 2025.

Xuying Huang, Sicong Pan, Olga Zatsarynna, Juergen Gall, and Maren Bennewitz:
Improved Semantic Segmentation from Ultra-Low-Resolution RGB Images Applied to Privacy-Preserving Object-Goal Navigation
Preprint arXiv: 2507.16034, July 2025.

Joao M. C. Marques, Nils Dengler, Tobias Zaenker, Jesper Mücke, Shenlong Wang, Maren Bennewitz, and Kris Hauser:
Map Space Belief Prediction for Manipulation-Enhanced Mapping 
In: Robotics: Science and Systems (RSS), Sydney, Australia, June 2025.

Haofei Kuang, Yue Pan, Xingguang Zhong, Louis Wiesmann, Jens Behley, and Cyrill Stachniss:
Improving Indoor Localization Accuracy by Using an Efficient Implicit Neural Map Representation
IEEE International Conference on Robotics and Automation (ICRA), Atlanta, USA, May 2025.

Shaoxiong Yao, Sicong Pan, Maren Bennewitz, and Kris Hauser:
Safe Leaf Manipulation for Accurate Shape and Pose Estimation of Occluded Fruits
IEEE International Conference on Robotics and Automation (ICRA), Atlanta, USA, May 2025.

Shahram Khorshidi, Murad Dawood, Benno Nederkorn, Maren Bennewitz, Majid Khadiv:
Physically-Consistent Parameter Identification of Robots in Contact
IEEE International Conference on Robotics and Automation (ICRA), Atlanta, USA, May 2025.

Subham Agrawal, Nico Ostermann-Myrau, Nils Dengler, and Maren Bennewitz:
The Robot-Pedestrian Influence Dataset for Learning Distinct Social Navigation Forces 
In: 7th Workshop on Long-term Human Motion Prediction, Atlanta, USA, May 2025.

Rodrigo Marcuzzi, Lucas Nunes, Elias Marks, Louis Wiesmann, Thomas Läbe, Jens Behley, and Cyrill Stachniss:
SfmOcc: Vision-Based 3D Semantic Occupancy Prediction in Urban Environments
IEEE Robotics and Automation Letters (RA-L) 10(5):5074-5081, April 2025.

Sicong Pan, Liren Jin, Xuying Huang, Cyrill Stachniss, Marija Popvić, and Maren Bennewitz:
DM-OSVP++: One-Shot View Planning Using 3D Diffusion Models for Active RGB-Based Object Reconstruction
Preprint arXiv: 2504.11674, April 2025.

Rohit Menon, Nils Dengler, Sicong Pan, Gokul Krishna Chenchani, Maren Bennewitz:
EvidMTL: Evidential Multi-Task Learning for Uncertainty-Aware Semantic Surface Mapping from Monocular RGB Images
Preprint arXiv:2503.04441, March 2025.

Jorge de Heuvel, Daniel Marta, Simon Holk, Iolanda Leite, and Maren Bennewitz:
The Impact of VR and 2D Interfaces on Human Feedback in Preference-Based Robot Learning
Preprint arXiv:2503.16500, March 2025.

Subham Agrawal, Nico Ostermann-Myrau, Nils Dengler, and Maren Bennewitz
PeRoI: A Pedestrian-Robot Interaction Dataset for Learning Avoidance, Neutrality, and Attraction Behaviors in Social Navigation
Preprint arXiv:2503.16481, March 2025.

Allen Isaac Jose, Sicong Pan, Tobias Zaenker, Rohit Menon, Sebastian Houben, and Maren Bennewitz:
GO-VMP: Global Optimization for View Motion Planning in Fruit Mapping
Preprint arXiv:2503.03912, March 2025.

Lucas Nunes, Rodrigo Marcuzzi, Jens Behley, and Cyrill Stachniss:
Towards Generating Realistic 3D Semantic Training Data for Autonomous Driving
Preprint arXiv:2503.21449, March 2025.

Matteo Sodano, Federico Magistri, Jens Behley, and Cyrill Stachniss:
Open-World Panoptic Segmentation
Preprint arXiv:2412.12740, December 2024.

Louis Wiesmann, Elias Marks, Saurabh Gupta, Tiziano Guadagnino, Jens Behley, and Cyrill Stachniss:
Efficient LiDAR Bundle Adjustment for Multi-Scan Alignment Utilizing Continuous-Time Trajectories
Preprint arXiv:2412.11760, December 2024.

Benedikt Kreis, Nils Dengler, Jorge de Heuvel, Rohit Menon, Hamsa Perur, and Maren Bennewitz:
Compact Multi-Object Placement Using Adjacency-Aware Reinforcement Learning
In: IEEE-RAS International Conference on Humanoid Robots (Humanoids), Nancy, France, November 2024.

Murad Dawood, Ahmed Shokry, and Maren Bennewitz:
A Dynamic Safety Shield for Safe and Efficient Reinforcement Learning of Navigation Tasks
In: Machine Learning Research - 7th Annual Conference on Learning for Dynamics and Control, Ann Arbor, USA, June 2024.

Jorge de Heuvel, Tharun Sethuraman, and Maren Bennewitz:
Demonstration-Enhanced Adaptable Multi-Objective Robot Navigation 
Preprint arXiv: 2404.04857, April 2024.

Nils Dengler, Juan Del Aguila Ferrandis, João Moura, Sethu Vijayakumar, and Maren Bennewitz: Learning Goal-Directed Object Pushing in Cluttered Scenes With Location-Based Attention
In: IEEE /RSJ International Conference on Intelligent Robots and Systems (IROS), Abu Dhabi, United Arab Emirates, October 2024.

Grzegorz Ficht and Sven Behnke:
Maximum Impulse Approach to Soccer Kicking for Humanoid Robots
In: Workshop on Humanoid Soccer Robots, IEEE-RAS 23rd International Conference on Humanoid Robots (Humanoids), Nancy, France, November 2024.

Subham Agrawal, Nils Dengler, and Maren Bennewitz:
Evaluating Robot Influence on Pedestrian Behavior Models for Crowd Simulation and Benchmarking
In: International Conference on Social Robotics (ICSR), Odense, Denmark, October 2024.

Tiziano Guadagnino, Benedikt Mersch, Ignacio Vizzo, Saurabh Gupta, Meher V.R. Malladi, Luca Lobefaro, Guillaume Doisy, and Cyrill Stachniss:
Kinematic-ICP: Enhancing LiDAR Odometry with Kinematic Constraints for Wheeled Mobile Robots Moving on Planar Surfaces
Preprint arXiv:2410.10277, October 2024.

Ahmed Shokry, Walid Gomaa, Tobias Zaenker, Murad Dawood, Shady A. Maged, Mohammed I. Awad, and Maren Bennewitz:
Context-Based Meta Reinforcement Learning for Robust and Adaptable Peg-in-Hole Assembly Tasks
Preprint arXiv:2409.16208, September 2024.

Louis Wiesmann, Thomas Läbe, Lucas Nunes, Jens Behley, and Cyrill Stachniss:
Joint Intrinsic and Extrinsic Calibration of Perception Systems Utilizing a Calibration Environment
IEEE Robotics and Automation Letters (RA-L) 9(10): 9103-9110, September 2024.



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