Yumi Iwashita
Papers
31
Total Citations
313
H-Index
11
About
Yumi Iwashita is a versatile robotics and computer vision researcher whose work spans human-robot interaction, autonomous systems, 3D environmental modeling, and biometric recognition. She has made significant contributions across both terrestrial and space robotics domains, making her an unusually broad innovator in the field. Among her most influential contributions is her work on the JPL BioSleeve, a wearable forearm device that decodes arm and hand gestures through EMG sensors and IMUs — enabling intuitive, hands-free robot command even in stealth military operations (49 citations). Her decade-long research thread on cooperative multi-robot 3D laser scanning has transformed how large-scale architectural structures are digitally mapped, with foundational papers spanning 2007 to 2016 (collectively accumulating over 80 citations). At JPL, she contributed to MAARS, an ambitious initiative applying cutting-edge machine learning to autonomous Mars and Moon rover navigation (29 citations). Her creativity extends to biometrics, where she explored shadow dynamics for person identification and developed 2V-Gait, a LiDAR-based gait recognition system robust to varied conditions. With over 215 cumulative citations, Iwashita's research uniquely bridges field robotics, space exploration, and intelligent sensing systems.
Research Focus
Key Achievements
Top Papers
- 1Decoding static and dynamic arm and hand gestures from the JPL BioSleeve49 citations · 2013
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- 3MAARS: Machine learning-based Analytics for Automated Rover Systems29 citations · 2020
- 4Laser-based geometric modeling using cooperative multiple mobile robots21 citations · 2009
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- 9Using arm and hand gestures to command robots during stealth operations12 citations · 2012
- 10People identification using shadow dynamics11 citations · 2010