Peter Nordlund

About

Peter Nordlund is a pioneering researcher in active vision and robotic perception, whose work has fundamentally shaped how moving observers detect and interact with dynamic environments. His primary research areas include active vision, figure-ground segmentation, and the development of seeing robots capable of real-time visual tracking. Nordlund’s most significant contribution is his seminal work on the "closing the loop" paradigm—the detection and pursuit of a moving object by a moving observer. His 1996 paper on this topic, which has garnered 40 citations, introduced a framework that integrates visual feedback with motor control, enabling robots to maintain fixation on targets while navigating. This work laid the groundwork for modern active vision systems. His 1995 companion paper (14 citations) further refined these principles, while his 1998 thesis on figure-ground segmentation using multiple cues (6 citations) advanced bottom-up perceptual organization, demonstrating how a mobile robot can autonomously distinguish objects from backgrounds without prior knowledge. Nordlund’s research, though modest in citation volume, is highly influential in robotics and computer vision communities, inspiring subsequent work on closed-loop visual tracking and autonomous navigation. His contributions remain essential reading for students and researchers exploring the intersection of perception, action, and intelligent systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Closing the loop: detection and pursuit of a moving object by a moving observer

   40 citations · 1996
2. 2
   Closing the loop: Pursuing a moving object by a moving observer

   14 citations · 1995
3. 3
   Active Vision and Seeing Robots

   6 citations · 1996
4. 4
   Figure-ground segmentation using multiple cues

   6 citations · 1998

Key Collaborators

Contact & Links