Mark J. Brudnak — accepted AI-conference papers

2025

Online Identification of Skidding Modes with Interactive Multiple Model Estimation

Amey A. Salvi, Pardha Sai Krishna Ala, Jonathon M. Smereka, Mark J. Brudnak, David J. Gorsich, Matthias J. Schmid +1

ICRA 2025

Skid-steered wheel mobile robots (SSWMRs) operate in a variety of outdoor environments exhibiting motion behaviors dominated by the effects of complex wheel-ground interactions. Characterizing these interactions is crucial from both the immediate robot autonomy perspective (for motion prediction and

Cited by 4 Source ↗code ↗Scholar ↗

2024

A Regret-Informed Evolutionary Approach for Generating Adversarial Scenarios for Black-Box Off-Road Autonomy Systems

Ted Sender, Mark J. Brudnak, Reid Steiger, Ram Vasudevan, Bogdan I. Epureanu

RA-L 2024

Developing autonomous vehicles (AVs) that operate in diverse and demanding environments is a difficult challenge. Two fundamental tools that can accelerate this process are testing an AV in diverse simulated environments and identifying core system weaknesses. While most efforts focus on improving t

Cited by 3 Source ↗Scholar ↗