Garrett Hemann
Papers
1
Total Citations
33
H-Index
1
About
Garrett Hemann is a researcher whose work sits at the intersection of robotics, perception, and autonomous navigation. His most influential contribution, the 2011 paper "Planning to Perceive: Exploiting Mobility for Robust Object Detection" (33 citations), addresses a fundamental challenge in mobile robotics: how to actively use a robot's movement to improve object detection in the presence of noisy sensors. Rather than treating perception as a passive process, Hemann proposed a planning framework that allows a robot to deliberately reposition itself to gather better visual data, balancing the competing demands of timely navigation and accurate object recognition. This work has been foundational for researchers exploring active perception and integrated planning-perception systems. While his citation count reflects a focused, high-impact contribution rather than a sprawling body of work, Hemann's ideas have influenced subsequent research on how robots can intelligently trade off exploration and exploitation. His approach remains relevant for modern autonomous systems operating in cluttered or uncertain environments, where robust detection is critical for safe and efficient navigation.
Research Focus
Key Achievements
Top Papers
- 1Planning to Perceive: Exploiting Mobility for Robust Object Detection33 citations · 2011