Nathan Thomas White
Scholar

Nathan Thomas White

Google Scholar ID: N0G84fwAAAAJ
Intrinsic
Human Robot InteractionRobotics
Citations & Impact
All-time
Citations
106
 
H-index
5
 
i10-index
4
 
Publications
12
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • No specific mentions of academic achievements such as publications or awards.
Research Experience
  • Currently working as a Research Software Engineer at Intrinsic. Involved in several projects including: Allocobot (Human-Robot Collaboration Planner), Robo-Blocks (LLM Assisted Robot Programming), Robot World Beliefs (Creating Consistent Robot Behaviors), CoFrame (Expert-Assisted Cobot Programming), and At-Home Learning Companion Robot (Child-Robot Reading Companion).
Education
  • Completed PhD at the University of Wisconsin - Madison, focusing on Human-Robot Interaction under the advisement of Dr. Bilge Mutlu; MS in Computer Science also from the University of Wisconsin-Madison; BS in Computer Science from the University of Minnesota-Twin Cities.
Background
  • Passionate about designing systems and technologies that are usable and intuitive for a wide range of potential users. Work focuses on simplifying complex tasks through the integration of elements from human-computer interaction, design, and human behavior literature, enabling more effective engagement with advanced technologies.
Miscellany
  • No specific information provided regarding personal interests or other details.
Co-authors
0 total
Co-authors: 0 (list not available)