James Tukpah
Papers
1
Total Citations
6
H-Index
1
About
James Tukpah is a researcher at the intersection of human-robot interaction and virtual reality, with a primary focus on developing intuitive interfaces for robot teleoperation and mobile manipulation. His most cited work, "Comparing a 2D Keyboard and Mouse Interface to Virtual Reality for Human-in-the-Loop Robot Planning for Mobile Manipulation" (2024, 6 citations), makes a significant contribution by systematically evaluating how different control modalities affect operator performance in complex robotic tasks. This research builds upon the legacy of the DARPA Robotics Challenge, directly addressing the critical challenge of enabling humans to effectively guide robots through unstructured environments. Tukpah’s work provides empirical evidence comparing traditional 2D interfaces against immersive VR systems, offering valuable insights for designing more efficient human-robot collaboration tools. His findings are particularly relevant for applications in disaster response, remote exploration, and industrial automation, where intuitive control can dramatically improve task completion rates. By quantifying the trade-offs between interface types, Tukpah helps bridge the gap between operator cognitive load and robotic capability, establishing a foundation for future advancements in teleoperation systems that prioritize both usability and performance.
Research Focus
Key Achievements
Top Papers
- 1