Papers
26
Total Citations
514
H-Index
11
About
Tatsuya Harada is a prominent robotics and computer vision researcher whose work spans autonomous systems, human-robot interaction, and machine learning. His most influential contribution, "Multispectral Object Detection for Autonomous Vehicles" (2017, 177 citations), established robust frameworks for detecting pedestrians, cyclists, and vehicles across challenging lighting and weather conditions — a critical advancement for real-world autonomous driving. His early work on the "RoboticRoom" system (2004, 76 citations) pioneered environment-type robotics, embedding intelligent behavior adaptation directly into living spaces for human service applications. Harada has also explored creative frontiers in robotics, developing a journalist robot capable of autonomous exploration and news article generation. His more recent research reflects a broadening vision: unsupervised 3D joint discovery for articulated object re-posing, agile legged locomotion via adversarial training, and view-invariant action recognition using attention transfer networks. His contributions to semantic mapping of construction sites using LiDAR and multispectral segmentation of transparent objects further demonstrate his commitment to practical, deployable robotic intelligence. Collectively, Harada's body of work reflects a unifying ambition — enabling machines to perceive, understand, and navigate complex real-world environments with increasing autonomy and sophistication.
Research Focus
Key Achievements
Top Papers
- 1Multispectral Object Detection for Autonomous Vehicles177 citations · 2017
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- 3Journalist robot: robot system making news articles from real world38 citations · 2007
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- 6Learning Agile Locomotion via Adversarial Training17 citations · 2020
- 7Attention Transfer (ANT) Network for View-invariant Action Recognition17 citations · 2019
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- 10View-invariant action recognition via Unsupervised AttentioN Transfer (UANT)12 citations · 2021