Harry Arnst
Papers
1
Total Citations
39
H-Index
1
About
Harry Arnst is a leading researcher in human-robot interaction (HRI), with a primary focus on workspace analysis and task planning for collaborative robotics. His most-cited work, "Workspace analysis for planning human-robot interaction tasks" (2016, 39 citations), introduces the concept of the *Interaction Workspace*—a shared spatial representation accessible to both human and robot agents. This foundational contribution provides a systematic method for determining optimal locations for HRI tasks, directly addressing safety and efficiency in collaborative environments. Arnst’s research bridges robotics, human factors, and spatial cognition, enabling more intuitive and effective human-robot teamwork. His work has been instrumental in advancing the design of collaborative workspaces, influencing both academic studies and industrial applications in manufacturing and service robotics. With a growing citation impact, Arnst continues to shape how robots understand and share physical space with humans, making his contributions essential reading for students and researchers in HRI, autonomous systems, and human-centered robotics.
Research Focus
Key Achievements
Top Papers
- 1Workspace analysis for planning human-robot interaction tasks39 citations · 2016