Andrew Calway
Papers
8
Total Citations
231
H-Index
5
About
Andrew Calway is a leading researcher in robotics and computer vision, whose work has fundamentally advanced the fields of visual simultaneous localization and mapping (SLAM) and autonomous navigation. His core contributions focus on enabling robots and wearable devices to perceive and navigate 3D environments in real time, even under challenging conditions. Calway pioneered techniques for "Real-Time Visual SLAM with Resilience to Erratic Motion" (37 citations), solving a critical problem that arises when cameras are mounted on hand-held or wearable devices rather than stable robotic platforms. He further extended these capabilities to dynamic humanoid robots, developing the first onboard real-time 3D SLAM system for a walking humanoid (10 citations). His research on "Enhancing 6D visual relocalisation with depth cameras" (23 citations) has been instrumental in improving how agile cameras recover their position within a mapped environment. With over 230 total citations from his most-cited works, Calway’s impact is evident in his contributions to major robotics conferences, including IEEE/RSJ IROS and ICRA. His scalable framework for detecting and localizing multiple 3D objects (5 citations) and his work on topological map building using global-appearance descriptors (3 citations) continue to influence modern approaches to robot navigation and cognitive computing.
Research Focus
Key Achievements
Top Papers
- 1
- 2International Conference on Robotics and Automation (ICRA)71 citations · 2012
- 3Real-Time Visual SLAM with Resilience to Erratic Motion37 citations · 2006
- 4Enhancing 6D visual relocalisation with depth cameras23 citations · 2013
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- 8