Alexander J. B. Trevor
Papers
14
Total Citations
394
H-Index
9
About
Alexander J. B. Trevor is a leading researcher in robotics, with key contributions in human-robot interaction, semantic mapping, and simultaneous localization and mapping (SLAM). His work bridges the gap between low-level sensor data and high-level semantic understanding, enabling robots to perceive and navigate human environments more intelligently. Trevor’s most impactful paper, “A point-and-click interface for the real world” (127 citations), introduced an intuitive method for humans to communicate 3D locations to robots using a laser pointer, revolutionizing human-robot interaction. He advanced semantic mapping with “Semantic map partitioning in indoor environments using regional analysis” (60 citations) and “SLAM with object discovery, modeling and mapping” (48 citations), which allow robots to recognize and model objects while building maps. His OmniMapper framework (39 citations) provides a modular toolkit for diverse SLAM applications. Trevor also explored therapeutic robotics, demonstrating how robots can manipulate toys for child therapy. With over 350 total citations, his work has shaped modern approaches to robot perception, mapping, and human-robot collaboration, making him a pivotal figure in autonomous systems research.
Research Focus
Key Achievements
Top Papers
- 1A point-and-click interface for the real world127 citations · 2008
- 2Semantic map partitioning in indoor environments using regional analysis60 citations · 2010
- 3SLAM with object discovery, modeling and mapping48 citations · 2014
- 4OmniMapper: A modular multimodal mapping framework39 citations · 2014
- 5
- 6Applying domain knowledge to SLAM using virtual measurements20 citations · 2010
- 7Tables, Counters, and Shelves: Semantic Mapping of Surfaces in 3D13 citations · 2010
- 8
- 9Effects of Sensory Precision on Mobile Robot Localization and Mapping12 citations · 2013
- 10Interactive object modeling & labeling for service robots9 citations · 2013