Research

Intelligent Manipulation

In cluttered scenes, and with unknown objects, typical pick and place pipelines are sub-optimal. Assembly and rearrangement tasks require flexible manipulation modes using both prehensile and non-prehensile approaches with multimodal perception.

Intelligent Manipulation
Intelligent Manipulation

In cluttered scenes, and with unknown objects, typical pick and place pipelines are sub-optimal. Assembly and rearrangement tasks require flexible manipulation modes using both prehensile and non-prehensile approaches with multimodal perception.

Phenorob - Robotics and Phenotyping for Sustainable Crop Production

Phenorob - Robotics and Phenotyping for Sustainable Crop Production

PhenoRob performs world-leading research in robotics and phenotyping for sustainable crop production. Our vision is to transform crop production by optimizing breeding and farming management through developing and deploying new technologies. PhenoRob addresses a real-world problem with a technology-oriented approach. Our scientists have backgrounds in computer science, geodesy, robotics, plant science, soil science, economics, and environmental science. This interdisciplinary team forms the only DFG-funded Cluster of Excellence focusing on agriculture.

RePAIR - Reconstructing the Past: Artificial Intelligence and Robotics Meet Cultural Heritage

RePAIR - Reconstructing the Past: Artificial Intelligence and Robotics Meet Cultural Heritage

The 'RePAIR' project combines Artificial Intelligence and Robotics with Cultural Heritage to create technology that simplifies the reconstruction of shattered artworks. This innovation aims to address the challenge of piecing together damaged or incomplete ancient artifacts like vases, amphorae, and frescoes, often found in fragments at excavation sites worldwide.

Interactive Shaping of Granular Media Using Reinforcement Learning

Interactive Shaping of Granular Media Using Reinforcement Learning

Benedikt Kreis, Malte Mosbach, Anny Ripke, Muhammad Ehsan Ullah, Sven Behnke, Maren Bennewitz

IEEE-RAS International Conference on Humanoid Robots (Humanoids), 2025

Context-Based Meta Reinforcement Learning for Robust and Adaptable Peg-in-Hole Assembly Tasks

Context-Based Meta Reinforcement Learning for Robust and Adaptable Peg-in-Hole Assembly Tasks

Ahmed Shokry, Walid Gomaa, Tobias Zaenker, Murad Dawood, Rohit Menon, Shady A. Maged, Mohammed I. Awad, Maren Bennewitz

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025

Learning Goal-Directed Object Pushing in Cluttered Scenes with Location-Based Attention

Learning Goal-Directed Object Pushing in Cluttered Scenes with Location-Based Attention

Nils Dengler, Juan Del Aguila Ferrandis, João Moura, Sethu Vijayakumar, Maren Bennewitz

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025

Map Space Belief Prediction for Manipulation-Enhanced Mapping

Map Space Belief Prediction for Manipulation-Enhanced Mapping

Joao Marcos Correia Marques, Nils Dengler, Tobias Zaenker, Jesper Mücke, Shenlong Wang, Maren Bennewitz, Kris Hauser

Robotics: Science and Systems (RSS), 2025

HortiBot: An Adaptive Multi-Arm System for Robotic Horticulture of Sweet Peppers

HortiBot: An Adaptive Multi-Arm System for Robotic Horticulture of Sweet Peppers

Christian Lenz, Rohit Menon, Michael Schreiber, Melvin Paul Jacob, Sven Behnke, Maren Bennewitz

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024

Viewpoint Push Planning for Mapping of Unknown Confined Spaces

Viewpoint Push Planning for Mapping of Unknown Confined Spaces

Nils Dengler, Sicong Pan, Vamsi Kalagaturu, Rohit Menon, Murad Dawood, Maren Bennewitz

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023

Reactive Correction of Object Placement Errors for Robotic Arrangement Tasks

Reactive Correction of Object Placement Errors for Robotic Arrangement Tasks

Benedikt Kreis, Rohit Menon, Bharath Kumar Adinarayan, Jorge de Heuvel, Maren Bennewitz

International Conference on Intelligent Autonomous Systems (IAS-18), 2023

Learning Goal-Directed Non-Prehensile Pushing in Cluttered Scenes

Learning Goal-Directed Non-Prehensile Pushing in Cluttered Scenes

Nils Dengler, David Großklaus, Maren Bennewitz

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022