Stephen Jay Gould
Australian National University, Stanford Medicine, Stanford University
Papers
13
Total Citations
510
H-Index
10
About
Stephen Jay Gould is a prominent researcher whose work sits at the intersection of robotics, computer vision, and artificial intelligence, with particular focus on semantic understanding, visual perception, and human-robot interaction. His most influential contribution, a comprehensive survey on semantics for robotic mapping, perception, and interaction (2020), has accumulated over 140 citations across multiple venues, establishing him as a key voice in helping robots develop richer, more meaningful models of their environments. His earlier work on integrating visual and range data for object detection (2008, 88 citations) and peripheral-foveal vision for real-time object recognition (2007, 82 citations) laid important groundwork for multimodal robotic perception. Gould has also made notable advances in vision-and-language navigation (2018, 62 citations), human pose forecasting using deep Markov models, and generative modeling of 3D point clouds. More recently, his contributions to navigational visual representations and human-robot collaborative assembly systems reflect a sustained commitment to bridging perception and action in real-world robotic settings. With hundreds of citations spanning over fifteen years, Gould's research continues to shape how intelligent systems see, reason about, and interact with the physical world.
Research Focus
Key Achievements
Top Papers
- 1Semantics for Robotic Mapping, Perception and Interaction: A Survey100 citations · 2020
- 2Integrating Visual and Range Data for Robotic Object Detection88 citations · 2008
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- 5Semantics for Robotic Mapping, Perception and Interaction: A Survey44 citations · 2020
- 6Human Pose Forecasting via Deep Markov Models43 citations · 2017
- 7Learning Navigational Visual Representations with Semantic Map Supervision29 citations · 2023
- 8Spectral-GANs for High-Resolution 3D Point-cloud Generation28 citations · 2020
- 9GoferBot: A Visual Guided Human-Robot Collaborative Assembly System15 citations · 2022
- 10Human Action Forecasting by Learning Task Grammars12 citations · 2017