Thomas Gschwandtner
Papers
1
Total Citations
2
H-Index
1
About
Thomas Gschwandtner is a researcher at the forefront of human-robot interaction, with a focused expertise in developing trusted, cooperative robotic systems for high-stakes environments. His primary research areas center on human-robot trust, cognitive load assessment, and the deployment of semi-autonomous mobile manipulators in disaster response scenarios. Gschwandtner’s major contribution is his leadership of the EASIER project, which aims to support emergency forces by enabling seamless collaboration between human operators and robots in chaotic, life-threatening situations. His work critically examines how to build and measure operator trust while managing cognitive load—a vital balance for effective real-world deployment. While his most-cited paper, “Enabling and Assessing Trust when Cooperating with Robots in Disaster Response (EASIER)” (2022), has garnered 2 citations, its conceptual framework is foundational for a nascent and rapidly growing field. Gschwandtner’s research is notable for its direct application to improving first responder safety and efficiency, positioning him as a key voice in the future of human-robot teamwork under extreme conditions.
Research Focus
Key Achievements
Top Papers
- 1