Noriaki Hirose
Scholar

Noriaki Hirose

Google Scholar ID: xvOlfw8AAAAJ
University of California, Berkeley, Stanford University, Toyota Central R&D Labs., INC.
Machine LearningRoboticsMotion Control
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Citations & Impact
All-time
Citations
2,295
 
H-index
13
 
i10-index
18
 
Publications
20
 
Co-authors
0
 
Contact
GitHubOpen ↗
Publications
4 items
AsyncVLA: An Asynchronous VLA for Fast and Robust Navigation on the Edge
2026
Cited
0
OmniVLA: An Omni-Modal Vision-Language-Action Model for Robot Navigation
2025
Cited
0
Towards Data-Driven Metrics for Social Robot Navigation Benchmarking
2025
Cited
0
Learning to Drive Anywhere with Model-Based Reannotation11
2025
Cited
0
Resume (English only)
Academic Achievements
  • - Paper: 'OmniVLA: An Omni-Modal Vision-Language-Action Model for Robot Navigation' (CoRL 2025 workshop)
  • - Paper: 'Learning to drive anywhere with Model-Based Reannotation' (ICRA 2025 workshop)
  • - Paper: 'LeLaN: Learning A Language-Conditioned Navigation Policy from In-the-Wild Videos' (CoRL 2024 conference)
  • - Paper: 'SELFI: Autonomous Self-Improvement with Reinforcement Learning for Vision-Based Navigation around People' (CoRL 2024 oral talk)
  • - Paper: 'SACSoN: Scalable Autonomous Control for Social Navigation' (IEEE Robotics and Automation Letters, CoRL 2023 live demo, ICRA 2024, IROS 2023 workshop)
  • - Paper: 'ExAug: Robot-Conditioned Navigation Policies via Geometric Experience Augmentation' (ICRA 2023)
  • - Paper: 'Probabilistic Visual Navigation with Bidirectional Image Prediction' (IROS 2021)
  • - Paper: 'DVMPC: Deep Visual MPC-Policy Learning for Navigation' (IEEE RA-Letters 2019, IROS presentation)
  • - Paper: 'VUNet: Dynamic Scene View Synthesis for Traversability Estimation Using an RGB Camera' (IEEE RA-Letters 2019, ICRA presentation)
  • - Paper: 'GONet: A Semi-supervised Deep Learning Approach for Traversability Estimation' (IROS 2018, Best Paper Award Finalist on Safety, Security and Rescue Robotics)
  • - Paper: 'Depth360: Self-supervised Learning for Monocular Depth Estimation using Learnable Camera Distortion Model' (IROS 2022)
Research Experience
  • - Executive engineer at TOYOTA Motor North America since 2022
  • - Visiting research fellow at University of California, Berkeley, working with Prof. Sergey Levine since 2022
  • - Visiting scholar at Stanford University, worked with Prof. Silvio Savarese from 2017 to 2019
  • - Research associate at Nagoya Institute of Technology for 3.5 years before joining the Toyota group
Education
  • - Ph.D. degree, 2008, Nagoya Institute of Technology
Background
  • - Robotics researcher
  • - Research interests: Robotics, Machine Learning, Computer vision, Motion Control
Miscellany
  • - Senior researcher at TOYOTA Central R&D Laboratory Inc
  • - Fellow in Hosei University GIS Global Leadership Initiative (GGLI)
Co-authors
0 total
Co-authors: 0 (list not available)