25 citations · 25 across the 11 of their papers we have counts for
5 papers · 1 filter
Lights, Camera, Malfunction: When Illumination Robustness Leaves VLA Models Blind to Color
Marino Watanabe, Takami Sato, Kentaro Yoshioka
Vision-Language-Action (VLA) models have emerged as a powerful paradigm for general-purpose robot manipulation; however, their transition to real-world environments reveals vulnera…
D-SLAMSpoof: An Environment-Agnostic LiDAR Spoofing Attack using Dynamic Point Cloud Injection
Rokuto Nagata, Kenji Koide, Kazuma Ikeda +2
In this work, we introduce Dynamic SLAMSpoof (D-SLAMSpoof), a novel attack that compromises LiDAR SLAM even in feature-rich environments. The attack leverages LiDAR spoofing, which…
MirrorDrift: Actuated Mirror-Based Attacks on LiDAR SLAM
Rokuto Nagata, Kenji Koide, Kazuma Ikeda +3
LiDAR SLAM provides high-accuracy localization but is fragile to point-cloud corruption because scan matching assumes geometric consistency. Prior physical attacks on LiDAR SLAM la…
SLAMSpoof: Practical LiDAR Spoofing Attacks on Localization Systems Guided by Scan Matching Vulnerability Analysis
Rokuto Nagata, Kenji Koide, Yuki Hayakawa +6
Accurate localization is essential for enabling modern full self-driving services. These services heavily rely on map-based traffic information to reduce uncertainties in recognizi…
Through the Looking Glass: Diminishing Occlusions in Robot Vision Systems with Mirror Reflections
Kentaro Yoshioka, Hidenori Okuni, Tuan Thanh Ta +1
The quality of robot vision greatly affects the performance of automation systems, where occlusions stand as one of the biggest challenges. If the target is occluded from the senso…