Scott Helmer

About

Scott Helmer is a leading researcher in the intersection of computer vision and robotics, with a focus on enabling robots to perform intelligent, real-world visual search. His most influential work centers on the development of **attentive, semantic robotic systems** that can autonomously locate and recognize objects in cluttered, dynamic environments. Helmer’s major contribution is the **Curious George platform**, an integrated robot system that combines visual attention, object recognition, and web-based training to achieve state-of-the-art performance in real-world tasks. His seminal paper, “Curious George: An Attentive Semantic Robot” (2008, 167 citations), laid the foundation for this work, demonstrating how a robot could actively search for objects by directing its gaze and processing visual cues sequentially. Helmer also advanced **informed visual search** (70 citations), addressing the challenge of sequential object recognition for mobile robots, and **stereo-based object recognition** (43 citations), improving recognition of objects with few distinctive features. His research has been showcased in the **Semantic Robot Vision Challenge**, where his lab integrated these ideas into a cohesive, award-winning system. With over 300 total citations, Helmer’s work remains a cornerstone for researchers building autonomous robots that can navigate and understand human environments.

Research Focus

Key Achievements

Top Papers

1. 1
   Curious George: An attentive semantic robot

   167 citations · 2008
2. 2
   Informed visual search: Combining attention and object recognition

   70 citations · 2008
3. 3
   Using stereo for object recognition

   43 citations · 2010
4. 4
   Multiple Viewpoint Recognition and Localization

   21 citations · 2011
5. 5
   Curious George: An Integrated Visual Search Platform

   20 citations · 2010
6. 6
   Semantic Robot Vision Challenge: Current State and Future Directions

   14 citations · 2009

Key Collaborators

Contact & Links