Papers
19
Total Citations
977
H-Index
13
About
Erich Rome is a prominent researcher whose work spans computational visual attention, autonomous robotics, and human-robot interaction, with particular expertise in bridging cognitive science and artificial intelligence. His most influential contribution, "Computational Visual Attention Systems and Their Cognitive Foundations" (2010, 391 citations), established a foundational framework connecting neurobiological models of human vision with computer vision systems, demonstrating how insights from psychology and neuroscience can drive advances in machine perception. Building on this, his 2019 work on real-time visual attention using integral images (119 citations) pushed these systems toward practical, time-efficient applications. Rome has also made significant contributions to autonomous robotics, most notably through the MAKRO project (110 citations), which pioneered self-navigating sewer inspection robots — a challenging real-world application combining computer vision and autonomous navigation. His SENEKA project (62 citations) extended this expertise into disaster management, developing mobile sensor networks to support rescue operations in crisis scenarios. Additionally, Rome has advanced affordance-based robot perception, exploring how robots can learn to anticipate object functionalities inspired by Gibsonian ecological psychology. Across his career, Rome's research consistently demonstrates a talent for translating theoretical cognitive models into robust, deployable robotic systems with meaningful societal impact.
Research Focus
Key Achievements
Top Papers
- 1Computational visual attention systems and their cognitive foundations391 citations · 2010
- 2A Real-time Visual Attention System Using Integral Images119 citations · 2019
- 3Towards autonomous sewer robots: the MAKRO project110 citations · 1999
- 4SENEKA - sensor network with mobile robots for disaster management62 citations · 2012
- 5Towards Affordance-Based Robot Control56 citations · 2008
- 6A Bimodal Laser-Based Attention System40 citations · 2005
- 7Learning Predictive Features in Affordance based Robotic Perception Systems39 citations · 2006
- 8Visual Learning of Affordance Based Cues29 citations · 2006
- 9Visual object detection for autonomous sewer robots27 citations · 2003
- 10Sewer Robotics21 citations · 1998