Papers
18
Total Citations
313
H-Index
11
About
Felix Schill is a robotics researcher whose work spans autonomous aerial systems, swarm robotics, haptic teleoperation, and underwater platforms. He is perhaps best known for pioneering audio-based localization and relative positioning techniques for teams of micro air vehicles (MAVs), developing methods that enable drones to determine teammates' positions using sound rather than relying on GPS or external tracking infrastructure — a critical capability for truly autonomous swarms operating in challenging environments. His 2016 paper on on-board relative bearing estimation using sound has garnered 54 citations, reflecting its significance to the field. Schill has also made notable contributions to haptic teleoperation of aerial robots, investigating how force feedback and vehicle dynamics representation can enhance a remote operator's situational awareness when controlling VTOL systems. His broader portfolio extends to swarm communication scheduling, stochastic self-assembly at microscale, and environmental monitoring through novel underwater platforms such as Vertex. With research spanning from practical drone navigation to theoretical distributed systems, Schill's work consistently addresses the core challenges of multi-robot coordination and human-robot interaction, making him a versatile and impactful contributor to modern robotics research.
Research Focus
Key Achievements
Top Papers
- 1On-Board Relative Bearing Estimation for Teams of Drones Using Sound54 citations · 2016
- 2Audio-based localization for swarms of micro air vehicles32 citations · 2014
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- 5Virtual Force Feedback teleoperation of the insectBot using optical flow22 citations · 2008
- 6Towards Optimal TDMA Scheduling for Robotic Swarm Communication20 citations · 2005
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- 8Representation of vehicle dynamics in haptic teleoperation of aerial robots18 citations · 2013
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- 10Localization of emergency acoustic sources by micro aerial vehicles14 citations · 2017