Simon Bultmann
Papers
9
Total Citations
64
H-Index
6
About
Simon Bultmann is a robotics researcher whose work spans computer vision, multi-robot systems, and intelligent perception architectures. He has made notable contributions to the field of **collaborative perception**, particularly through his development of smart edge sensor networks that enable robots to understand and navigate complex environments. His research on 6D object pose estimation and keypoint-based detection methods has advanced how robots perceive and interact with objects in real-world settings, with his keypoint-based pose estimation and external robot localization work accumulating over a dozen citations each. Bultmann has demonstrated versatility across robotic platforms, contributing to autonomous UAV systems for the prestigious MBZIRC 2020 challenge and multi-robot cooperative mapping, while also contributing to agricultural robotics through automated crop inspection. His involvement with Team NimbRo — winners of RoboCup@Home 2024's Open Platform League — highlights his engagement with state-of-the-art service robotics leveraging foundation models. A unifying theme across his work is pushing perception beyond single-sensor limitations by distributing computation across networked sensors and robots. With a growing body of research across aerial, ground, and service robotics contexts, Bultmann represents an emerging voice in intelligent, collaborative robotic perception systems.
Research Focus
Key Achievements
Top Papers
- 1
- 26D Object Pose Estimation Using Keypoints and Part Affinity Fields12 citations · 2022
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- 6Multi-Robot Navigation and Cooperative Mapping in a Circular Topology6 citations · 2017
- 7Semantic Feedback for Collaborative Perception with Smart Edge Sensors6 citations · 2024
- 8Object-level 3D Semantic Mapping using a Network of Smart Edge Sensors4 citations · 2022
- 9Automated Leaf-Level Inspection of Crops Combining UAV and UGV Robots1 citations · 2025