Masanori Ishigaki

National Institute of Technology, Toyota College

Papers

Total Citations

H-Index

About

Masanori Ishigaki is a leading researcher in robotics and computer vision, with a primary focus on visual navigation and autonomous systems. His most influential work, "Probabilistic Visual Navigation with Bidirectional Image Prediction" (2021, 8 citations), introduces a groundbreaking approach that enables mobile robots to robustly follow visual trajectories defined by image sequences—much like humans can navigate using a video—despite significant environmental changes or obstacles. This work leverages a probabilistic framework with bidirectional image prediction, allowing robots equipped with only a single RGB fisheye camera to adapt to dynamic surroundings. Ishigaki’s contributions advance the field of visual navigation by addressing key challenges in robustness and adaptability, bridging the gap between human-like perception and robotic autonomy. His research has practical implications for autonomous driving, drone navigation, and service robotics, where reliable visual guidance is critical. With a growing citation impact, Ishigaki continues to push boundaries in probabilistic modeling and sensor-limited navigation, making his work essential reading for students and researchers interested in intelligent, vision-based robotic systems.