James M. Goppert — accepted AI-conference papers

2025

Range-Based Multi-Robot Integrity Monitoring For Cyberattacks and Faults: An Anchor-Free Approach

Vishnu Vijay, Kartik Anand Pant, Minhyun Cho, Yifan Guo, James M. Goppert, Inseok Hwang

RA-L 2025

Coordination of multi-robot systems (MRSs) relies on efficient sensing and reliable communication among the robots. However, the sensors and communication channels of these robots are often vulnerable to cyberattacks and faults, which can disrupt their individual behavior and the overall objective o

Cited by 4 Source ↗Scholar ↗

2024

MIXED-SENSE: A Mixed Reality Sensor Emulation Framework for Test and Evaluation of UAVs Against False Data Injection Attacks

Kartik A. Pant, Li-Yu Lin, Jaehyeok Kim, Worawis Sribunma, James M. Goppert, Inseok Hwang

IROS 2024poster

We present a high-fidelity Mixed Reality sensor emulation framework for testing and evaluating the resilience of Unmanned Aerial Vehicles (UAVs) against false data injection (FDI) attacks. The proposed approach can be utilized to assess the impact of FDI attacks, benchmark attack detector performanc…

Cited by 8 Source ↗code ↗Scholar ↗