Tobias Knobloch
Papers
2
Total Citations
103
H-Index
2
About
Tobias Knobloch is a leading researcher in human–robot collaboration, with a focus on whole-body control and real-time safety in industrial settings. His work centers on developing multimodal sensor-based systems that enable robots to perceive and respond to human presence, ensuring safe and efficient interaction without the need for physical barriers. Knobloch’s most cited paper, “Multimodal sensor-based whole-body control for human–robot collaboration in industrial settings” (2017), has garnered 83 citations and lays the foundation for integrating vision, force, and proximity sensors into unified control frameworks. In his 2020 work on constraint-based collision avoidance, he introduced a novel method for converting clustered 3D sensor data into computationally efficient convex hull representations, allowing robots to dynamically compute distances to obstacles and adjust their motion in real time. This software-based approach significantly enhances safety in shared workspaces. Knobloch’s contributions are pivotal in advancing flexible, human-aware automation, and his research continues to influence the design of collaborative robots that are both intelligent and safe for close human interaction.
Research Focus
Key Achievements
Top Papers
- 1
- 2A constraint-based approach for human–robot collision avoidance20 citations · 2020