Universität Bonn           

BMBF Project Robotics Institute Germany (RIG)

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

The BMBF-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

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.

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.

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
Pedestrians and Robots: A Novel Dataset for Learning Distinct Social Navigation Forces
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.

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.

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.



University of Bonn, Institute for Computer Science VI – Intelligent Systems and Robotics,
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