Aleksandra Landowska
Papers
1
Total Citations
5
H-Index
1
About
Aleksandra Landowska is a leading researcher at the intersection of human-robot interaction and cognitive ergonomics, with a primary focus on optimizing robotic teleoperation in high-stakes environments. Her most-cited work, "Performance metrics outperform physiological indicators in robotic teleoperation workload assessment" (2024, 5 citations), challenges conventional approaches by demonstrating that task-based performance metrics are more reliable than physiological signals for assessing operator cognitive load. This contribution is critical for advancing semi-autonomous systems in nuclear waste management and disaster response, where full automation remains impractical. Landowska’s research directly informs the design of adaptive interfaces that reduce operator fatigue and error, making complex remote operations safer and more efficient. Her work has been recognized for bridging the gap between theoretical workload models and real-world robotic applications, offering practical tools for engineers and operators. With a growing citation impact, Landowska is establishing herself as a key voice in the future of human-robot collaboration, particularly in scenarios demanding precise, real-time decision-making under pressure.
Research Focus
Key Achievements
Top Papers
- 1