Mark J. Brudnak

According to our database, Mark J. Brudnak authored at least 13 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Real-Time Workload Estimation Using Eye Tracking: A Bayesian Inference Approach.

Ruikun Luo, Yifan Weng, Paramsothy Jayakumar, Mark J. Brudnak, Victor Paul, Vishnu R. Desaraju, Jeffrey L. Stein, Tulga Ersal, X. Jessie Yang

Int. J. Hum. Comput. Interact., August, 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

IEEE Robotics Autom. Lett., June, 2024

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, Venkat Krovi

CoRR, 2024

Off-Road Autonomy Validation Using Scalable Digital Twin Simulations Within High-Performance Computing Clusters.

Tanmay Vilas Samak, Chinmay Vilas Samak, Joey Binz, Jonathon M. Smereka, Mark J. Brudnak, David J. Gorsich, Feng Luo, Venkat Krovi

CoRR, 2024

Dynamic View Translation for Robust Multi-Agent Autonomy.

Grayson Byrd, Dan Zhang, Feng Luo, Venkat Krovi, David J. Gorsich, Jonathon M. Smereka, Mark J. Brudnak

Proceedings of the International Conference on Assured Autonomy, 2024

2022

Hybrid Reinforcement Learning based controller for autonomous navigation.

Ajinkya Joglekar, Venkat Krovi, Mark J. Brudnak, Jonathon M. Smereka

Proceedings of the 95th IEEE Vehicular Technology Conference, 2022

2020

Evaluation of a Predictor-Based Framework in High-Speed Teleoperated Military UGVs.

Yingshi Zheng, Mark J. Brudnak, Paramsothy Jayakumar, Jeffrey L. Stein, Tulga Ersal

IEEE Trans. Hum. Mach. Syst., 2020

A Workload Adaptive Haptic Shared Control Scheme for Semi-Autonomous Driving.

Ruikun Luo, Yifan Weng, Yifan Wang, Paramsothy Jayakumar, Mark J. Brudnak, Victor Paul, Vishnu R. Desaraju, Jeffrey L. Stein, Tulga Ersal, X. Jessie Yang

CoRR, 2020

Design and Evaluation of a Workload-Adaptive Haptic Shared Control Framework for Semi-Autonomous Driving.

Yifan Weng, Ruikun Luo, Paramsothy Jayakumar, Mark J. Brudnak, Victor Paul, Vishnu R. Desaraju, Jeffrey L. Stein, X. Jessie Yang, Tulga Ersal

Proceedings of the 2020 American Control Conference, 2020

2015

A model-free predictor framework for tele-operated vehicles.

Xinyi Ge, Mark J. Brudnak, Paramsothy Jayakumar, Jeffrey L. Stein, Tulga Ersal

Proceedings of the American Control Conference, 2015

2014

A Norm Optimal Iterative Learning Control framework towards Internet-Distributed Hardware-In-The-Loop simulation.

Xinyi Ge, Mark J. Brudnak, Jeffrey L. Stein, Tulga Ersal

Proceedings of the American Control Conference, 2014

2011

Effect of coupling point selection on distortion in Internet-distributed hardware-in-the-loop simulation.

Tulga Ersal, R. Brent Gillespie, Mark J. Brudnak, Jeffrey L. Stein, Hosam K. Fathy

Proceedings of the American Control Conference, 2011

2006

Vector-Valued Support Vector Regression.

Mark J. Brudnak

Proceedings of the International Joint Conference on Neural Networks, 2006