Richard Bowden
University of Surrey, Ollscoil na Gaillimhe – University of Galway
Papers
12
Total Citations
203
H-Index
8
About
Richard Bowden is a leading researcher in computer vision and robotics, with key contributions spanning sign language production, autonomous navigation, and sensor fusion. His most impactful work, "Continuous 3D Multi-Channel Sign Language Production via Progressive Transformers and Mixture Density Networks" (83 citations), pioneers the automatic translation of spoken language into continuous, multi-channel sign language—a breakthrough that captures the full 3D articulation and morphology essential for natural communication. Bowden also advanced urban robotics through the URUS project, developing decentralized sensor fusion architectures for networked robots in city environments (45 citations). His innovative SeDAR system (12 citations) revolutionizes robot localization by using deep learning to interpret floorplans semantically, mimicking human spatial reasoning without relying on LiDAR. Additionally, his work on visual odometry with confidence estimation (MDN-VO, 10 citations) and learning to drive from holistic visual features (10 citations) demonstrates his commitment to robust, human-inspired autonomy. Bowden’s research consistently bridges computer vision and robotics, producing practical systems that learn from human behavior and adapt to complex, real-world settings.
Research Focus
Key Achievements
Top Papers
- 1
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- 3Data fusion in ubiquitous networked robot systems for urban services12 citations · 2012
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- 5MDN-VO: Estimating Visual Odometry with Confidence10 citations · 2021
- 6Driving me around the bend: Learning to drive from visual gist10 citations · 2011
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- 8Autonomous navigation and sign detector learning8 citations · 2013
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- 10