Felix Bohn
Papers
3
Total Citations
18
H-Index
3
About
Felix Bohn is a researcher at the forefront of collective robotics, specializing in the programming and control of multipotent robot ensembles. His work addresses the fundamental challenge of orchestrating groups of robots that can dynamically reconfigure their capabilities and behaviors. Bohn’s major contribution lies in developing novel programming paradigms that simplify the complex task of defining collective behavior. His most cited paper, “Maple-Swarm: Programming Collective Behavior for Ensembles by Extending HTN-Planning” (2020, 9 citations), introduces a groundbreaking approach that leverages hierarchical task network (HTN) planning to enable intuitive, high-level programming of swarms. This work, along with “Swarm and Collective Capabilities for Multipotent Robot Ensembles” (2020, 6 citations) and “Ensemble Programming for Multipotent Systems” (2019, 3 citations), establishes a framework where programmers can specify what an ensemble should achieve without needing deep domain-specific knowledge about the robots’ individual capabilities. By abstracting away low-level control details, Bohn’s research significantly reduces the effort required to program sophisticated collective behaviors, paving the way for more accessible and scalable multi-robot systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Swarm and Collective Capabilities for Multipotent Robot Ensembles6 citations · 2020
- 3Ensemble Programming for Multipotent Systems3 citations · 2019