Papers
1
Total Citations
2
H-Index
1
About
Kris Dalm is a researcher at the intersection of robotics and mixed reality (MR), whose work explores intuitive human-robot interaction through augmented interfaces. Their most-cited paper, "Using MR to Interact with a Mobile Robot Based on ROS" (2022), demonstrates a novel approach to bridging the gap between physical robotic systems and immersive digital environments. By leveraging the Robot Operating System (ROS), Dalm enables operators to visualize sensor data, plan paths, and command mobile robots through holographic overlays—a contribution that enhances situational awareness and reduces cognitive load in remote or collaborative settings. Though early in their career, Dalm’s work has already garnered attention (2 citations) for its practical integration of MR and ROS, offering a scalable framework for future teleoperation and autonomous systems. Their research holds promise for applications in industrial automation, search-and-rescue, and education, where seamless human-robot collaboration is critical. Dalm’s focus on user-centered design and open-source tools positions them as an emerging voice in the growing field of mixed-reality robotics.
Research Focus
Key Achievements
Top Papers
- 1Using MR to Interact with a Mobile Robot Based on ROS2 citations · 2022