Papers

12

Total Citations

173

H-Index

7

About

Jan Dentler’s research sits at the intersection of autonomous aerial robotics, multi-agent coordination, and robotic manipulation, with a strong emphasis on real-world deployment in challenging environments. His early, highly cited work on UAV swarms introduced a novel mobility model combining chaotic ant colony algorithms with model predictive control (MPC), achieving collision-free, efficient area exploration—a foundational contribution that has garnered over 90 citations. Dentler’s impact extends to cooperative localization, where he developed the “Atlas” ROS framework for dynamic sensor fusion among multiple UAVs, and to aerial manipulation, where he pioneered operational space control for quadrotors with attached manipulators. More recently, his work has advanced into space robotics and dexterous manipulation, including a widely-read survey on visual servoing for on-orbit servicing and a generative 6-DoF grasp synthesis method using latent diffusion models (GraspLDM). His 2024 contributions on object-centric reconstruction with 3D Gaussian splatting further demonstrate his commitment to enabling autonomous systems to perceive and interact with unknown, dynamic objects. With over 160 total citations and a trajectory from swarm exploration to space-grade manipulation, Dentler’s work is shaping the future of autonomous robotics in both terrestrial and orbital domains.

Research Focus

Key Achievements

7
H-Index
12
Papers
173
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Collision Avoidance Effects on the Mobility of a UAV Swarm Using Chaotic Ant Colony with Model Predictive Control
64 citations · 2018
📈 Most Prolific Year: 2017 (4 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: University of Luxembourg, Recherches Scientifiques Luxembourg

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago