Daniel J. Bursch
Papers
1
Total Citations
46
H-Index
1
About
Daniel J. Bursch is a leading researcher in human-autonomy teaming and unmanned aerial systems (UAS), with a focus on enabling a single operator to effectively manage multiple drones. His most-cited work, "Adaptive Human-Robot Interactions for Multiple Unmanned Aerial Vehicles" (2021, 46 citations), tackles the critical challenge of the "one-to-many" (OTM) paradigm, where cognitive overload threatens mission success. Bursch’s major contribution lies in designing adaptive interaction frameworks that dynamically adjust robot autonomy and information presentation based on operator state and task demands, thereby enhancing safety and efficiency in complex aerial operations. His research bridges cognitive engineering, robotics, and human factors, producing practical solutions for military and civilian drone swarms. With a growing citation impact, Bursch’s work is foundational for future systems where humans must supervise increasingly autonomous fleets, making him a key voice in the evolution of human-robot collaboration.
Research Focus
Key Achievements
Top Papers
- 1Adaptive Human-Robot Interactions for Multiple Unmanned Aerial Vehicles46 citations · 2021