Papers
2
Total Citations
5
H-Index
2
About
Marcel Baltzer’s research lies at the intersection of human-robot interaction, gaze-based control, and autonomous systems, with a particular focus on applications in space exploration and reconnaissance. His work addresses the critical challenge of designing intuitive interfaces for human-robot teams operating in high-stakes environments. In his most cited paper, “Gaze Based Interaction for Object Classification in Reconnaissance Missions Using Highly Automated Platforms” (2021, 3 citations), Baltzer pioneers the use of eye-tracking technology to enable operators to classify objects efficiently while managing multiple autonomous platforms—a contribution that enhances situational awareness and reduces cognitive load. His earlier work, “Multi-Layer Human-Robot Teaming: From Earth to Space” (2019, 2 citations), introduces a novel interface evaluation methodology for robotic assistants in space missions, emphasizing the need for seamless cooperation between humans and machines. By bridging the gap between advanced automation and natural human input, Baltzer’s research lays the groundwork for safer, more effective human-robot collaboration in extreme environments. His focus on gaze-based interaction and multi-layer teaming positions him as a key contributor to the future of autonomous systems in both terrestrial and extraterrestrial operations.
Research Focus
Key Achievements
Top Papers
- 1
- 2Multi-Layer Human-Robot Teaming: From Earth to Space2 citations · 2019