Research Area

Active Perception

Active perception tries to answer the question of where to look at to gain more information. This is an important task in any application where occlusions appear and scenes need to be observed from different angles. Especially for robots operating in complex unstructured environments, active perception is key to efficient spatio-temporal mapping.

Active Perception
Active Perception
AID4Crops - Automation and AI for Monitoring and Decision Making of Horticultural Crops

AID4Crops - Automation and AI for Monitoring and Decision Making of Horticultural Crops

AID4Crops will bring together research about what can be sensed with what should be sensed. To do this, we will develop novel AI algorithms to enable autonomous monitoring (sensing) and management (forecasting and decision making) for horticultural crops. These approaches will be deployed in horticulture as it provides a set of realistic yet challenging environments with crops grown both indoors (in glasshouses) and outdoor (in orchards); the indoor environment provides greater control over the growth of the crops.

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.

SG-DOR: Learning Scene Graphs with Direction-Conditioned Occlusion Reasoning for Pepper Plants

SG-DOR: Learning Scene Graphs with Direction-Conditioned Occlusion Reasoning for Pepper Plants

R. Menon, N. Mueller-Goldingen, S. Pan, G.K.G. Chenchani, M. Bennewitz

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2026

O-STaR: Open-Vocabulary Object Search through Spatio-Temporal Reasoning on Dynamic Scene Graphs

O-STaR: Open-Vocabulary Object Search through Spatio-Temporal Reasoning on Dynamic Scene Graphs

R. Menon, Y. Schmiede, G.K.G. Chenchani, H. Blum, M. Bennewitz

Proceedings of 2nd German Robotics Conference (GRC), 2026

GO-VMP: Global Optimization for View Motion Planning in Fruit Mapping

GO-VMP: Global Optimization for View Motion Planning in Fruit Mapping

A. Isaac Jose, S. Pan, T. Zaenker, R. Menon, S. Houben, M. 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

J.M.C Marques, N. Dengler, T. Zaenker, J. Mücke, S. Wang, M. Bennewitz, K. Hauser

Robotics: Science and Systems (RSS), 2025

Exploiting Priors from 3D Diffusion Models for RGB-Based One-Shot View Planning

Exploiting Priors from 3D Diffusion Models for RGB-Based One-Shot View Planning

S. Pan, L. Jin, X. Huang, C. Stachniss, M. Popović, M. Bennewitz

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

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

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

C. Lenz, R. Menon, M. Schreiber, M. P. Jacob, S. Behnke, M. Bennewitz

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

Active Implicit Reconstruction Using One-Shot View Planning

Active Implicit Reconstruction Using One-Shot View Planning

H. Hu, S. Pan, L. Jin, M. Popović, M. Bennewitz

IEEE International Conference on Robotics and Automation (ICRA), 2024

How Many Views Are Needed to Reconstruct an Unknown Object Using NeRF?

How Many Views Are Needed to Reconstruct an Unknown Object Using NeRF?

S. Pan, L. Jin, H. Hu, M. Popović, M. Bennewitz

IEEE International Conference on Robotics and Automation (ICRA), 2024

Viewpoint Push Planning for Mapping of Unknown Confined Spaces

Viewpoint Push Planning for Mapping of Unknown Confined Spaces

N. Dengler, S. Pan, V. Kalagaturu, R. Menon, M. Dawood, M. Bennewitz

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

Graph-based View Motion Planning for Fruit Detection

Graph-based View Motion Planning for Fruit Detection

T. Zaenker, J. Rückin, R. Menon, M. Popović, M. Bennewitz

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

Fruit Mapping with Shape Completion for Autonomous Crop Monitoring

Fruit Mapping with Shape Completion for Autonomous Crop Monitoring

S. Marangoz, T. Zaenker, R. Menon, M. Bennewitz

IEEE International Conference on Automation Science and Engineering (CASE), 2022

Combining Local and Global Viewpoint Planning for Fruit Coverage

Combining Local and Global Viewpoint Planning for Fruit Coverage

T. Zaenker, C. Lehnert, C. McCool, M. Bennewitz

European Conference on Mobile Robots (ECMR), 2021

Region of Interest based Viewpoint Selection

Viewpoint Planning for Fruit Size and Position Estimation

T. Zaenker, M. Bennewitz

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021

PATHoBot: A Robot for Glasshouse Crop Phenotyping and Intervention.

PATHoBot: A Robot for Glasshouse Crop Phenotyping and Intervention.

C. Smitt, M. Halstead, T. Zaenker, M. Bennewitz, C. McCool

IEEE International Conference on Robotics & Automation (ICRA), 2021