Leendert van Maanen
Papers
1
Total Citations
19
H-Index
1
About
Leendert van Maanen is a leading researcher in human-robot interaction and cognitive modeling, with a focus on how humans perceive, adapt to, and collaborate with autonomous systems. His most-cited work, "Human-Robot Interaction During Virtual Reality Mediated Teleoperation" (2019, 19 citations), investigates how environmental information influences spatial task performance and operator situation awareness during VR-mediated teleoperation—a critical contribution to the design of intuitive, remote-control interfaces. Van Maanen’s research bridges cognitive science and robotics, exploring how operators build mental models of robot actions and how augmented feedback can enhance trust and efficiency. His work has practical implications for search-and-rescue, space exploration, and industrial automation, where remote operation under limited visibility is common. Beyond this paper, van Maanen has published extensively on cognitive architectures and dual-task performance, earning recognition for integrating computational models with real-world robotic systems. His studies consistently emphasize the human operator’s cognitive load, making his findings essential for engineers designing safer, more responsive human-robot teams. With a growing citation impact, van Maanen continues to shape how we understand and optimize the partnership between humans and intelligent machines.
Research Focus
Key Achievements
Top Papers
- 1