5 papers
Occluding the Solution Space: Planner-Agnostic Adversarial Attacks on Tolerance-Aware Manipulation
Keke Tang, Tianyu Hao, Weilong Peng +5
Adversarial attacks on motion planning are crucial for evaluating and quantifying the intrinsic robustness of robotic manipulation. However, existing approaches are typically limit…
In-context Region-based Drag: Drag Any Region to Any Shape
Jiacheng Sui, Tianyu Hao, Bingjie Gao +2
Diffusion models have shown promise in drag-style editing. Previous works mainly focus on point-based drag, which is inherently ambiguous. This paper focuses on region-based drag a…
Partially Observable Adversarial Patch Attacks on Vision-Language-Action Models in Robotics
Xiaofei Wang, Mingliang Han, Tianyu Hao +3
Vision-language-action (VLA) models are gaining attention in robotics, yet their robustness to adversarial attacks remains largely unexplored. Existing work shows that adversarial…
AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspective
Xiaofei Wang, Mingliang Han, Tianyu Hao +3
Adversarial attacks on robotic grasping provide valuable insights into evaluating and improving the robustness of these systems. Unlike studies that focus solely on neural network…
Adaptive Contextual Embedding for Robust Far-View Borehole Detection
Xuesong Liu, Tianyu Hao, Emmett J. Ientilucci
In controlled blasting operations, accurately detecting densely distributed tiny boreholes from far-view imagery is critical for operational safety and efficiency. However, existin…