1 citations · 1 across the 17 of their papers we have counts for
17 papers
SonicNudge: Controlled Displacement of Hovering UAVs via Estimator-Controller Coupling
Shaocheng Luo, Ashir Raza, Haocheng Meng +2
UAV displacement attacks have traditionally relied on spoofing sensors that directly report position or translational motion, such as GNSS and optical flow. In this work, we introd…
Phantom Navigator: Stealthy and Precise Unmanned Aerial Vehicle Redirection with Real-Time Tracking and GPS Spoofing
Haocheng Meng, Shaocheng Luo, Songqiao Xie +1
Redirecting unmanned aerial vehicles (UAVs) from their intended mission trajectories has been an active area of research. However, existing UAV redirection attacks lack reliability…
fARfetch: Enabling Collocated AR-HRC in Large Visually Diverse Environments with VLM-Driven AR Content Adaptation
Christian Fronk, Hanting Ye, David Hunt +2
Augmented Reality (AR) can improve collocated human-robot collaboration by making robot state and intent visible and enabling intuitive control, yet large, visually diverse environ…
Anywhere, Any-Stymie: Remote Activation of Trojan Malware on LiDAR with Modulated Signals
R. Spencer Hallyburton, Miroslav Pajic
LiDAR sensors are widely deployed in autonomous systems for safety-critical 3D perception. We identify a previously unexplored attack surface in which dormant malware, embedded in…
Scaling Datasets for Multi-Sensor, Multi-Agent, and Multi-Domain Learning in Autonomous Systems
R. Spencer Hallyburton, David Hunt, Miroslav Pajic
Existing datasets cannot support large-scale learning in multi-agent, multi-sensor, or multi-domain autonomy, where diversity and coordination are essential. We present a modular d…
COMRES-VLM: Coordinated Multi-Robot Exploration and Search using Vision Language Models
Ruiyang Wang, Hao-Lun Hsu, David Hunt +3
Autonomous exploration and object search in unknown indoor environments remain challenging for multi-robot systems (MRS). Traditional approaches often rely on greedy frontier assig…
SoK: How Sensor Attacks Disrupt Autonomous Vehicles: An End-to-end Analysis, Challenges, and Missed Threats
Qingzhao Zhang, Shaocheng Luo, Z. Morley Mao +2
Autonomous vehicles, including self-driving cars, ground robots, and drones, rely on multi-modal sensor pipelines for safe operation, yet remain vulnerable to adversarial sensor at…
Trusted Data Fusion, Multi-Agent Autonomy, Autonomous Vehicles
R. Spencer Hallyburton, Miroslav Pajic
Multi-agent collaboration enhances situational awareness in intelligence, surveillance, and reconnaissance (ISR) missions. Ad hoc networks of unmanned aerial vehicles (UAVs) allow…
RaGNNarok: A Light-Weight Graph Neural Network for Enhancing Radar Point Clouds on Unmanned Ground Vehicles
David Hunt, Shaocheng Luo, Spencer Hallyburton +4
Low-cost indoor mobile robots have gained popularity with the increasing adoption of automation in homes and commercial spaces. However, existing lidar and camera-based solutions h…
Assured Autonomy with Neuro-Symbolic Perception
R. Spencer Hallyburton, Miroslav Pajic
Many state-of-the-art AI models deployed in cyber-physical systems (CPS), while highly accurate, are simply pattern-matchers.~With limited security guarantees, there are concerns f…
Probabilistic Segmentation for Robust Field of View Estimation
R. Spencer Hallyburton, David Hunt, Yiwei He +2
Attacks on sensing and perception threaten the safe deployment of autonomous vehicles (AVs). Security-aware sensor fusion helps mitigate threats but requires accurate field of view…
Security-Aware Sensor Fusion with MATE: the Multi-Agent Trust Estimator
R. Spencer Hallyburton, Miroslav Pajic
Lacking security awareness, sensor fusion in systems with multi-agent networks such as smart cities is vulnerable to attacks. To guard against recent threats, we design security-aw…
Bayesian Methods for Trust in Collaborative Multi-Agent Autonomy
R. Spencer Hallyburton, Miroslav Pajic
Multi-agent, collaborative sensor fusion is a vital component of a multi-national intelligence toolkit. In safety-critical and/or contested environments, adversaries may infiltrate…
RadCloud: Real-Time High-Resolution Point Cloud Generation Using Low-Cost Radars for Aerial and Ground Vehicles
David Hunt, Shaocheng Luo, Amir Khazraei +4
In this work, we present RadCloud, a novel real time framework for directly obtaining higher-resolution lidar-like 2D point clouds from low-resolution radar frames on resource-cons…
A Multi-Agent Security Testbed for the Analysis of Attacks and Defenses in Collaborative Sensor Fusion
R. Spencer Hallyburton, David Hunt, Shaocheng Luo +1
The performance and safety of autonomous vehicles (AVs) deteriorates under adverse environments and adversarial actors. The investment in multi-sensor, multi-agent (MSMA) AVs is me…
Datasets, Models, and Algorithms for Multi-Sensor, Multi-agent Autonomy Using AVstack
R. Spencer Hallyburton, Miroslav Pajic
Recent advancements in assured autonomy have brought autonomous vehicles (AVs) closer to fruition. Despite strong evidence that multi-sensor, multi-agent (MSMA) systems can yield s…
MadRadar: A Black-Box Physical Layer Attack Framework on mmWave Automotive FMCW Radars
David Hunt, Kristen Angell, Zhenzhou Qi +2
Frequency modulated continuous wave (FMCW) millimeter-wave (mmWave) radars play a critical role in many of the advanced driver assistance systems (ADAS) featured on today's vehicle…