A model-free predictor framework for tele-operated vehicles. - Xinyi Ge; Mark J. Brudnak; Paramsothy Jayakumar; Jeffrey L. Stein; Tulga Ersal (ACC, 2015)

Role Negotiation in a Haptic Shared Control Framework. - Amir H. Ghasemi; Mishel Johns; Benjamin Garber; Paul Boehm; Paramsothy Jayakumar; Wendy Ju; R. Brent Gillespie (AutomotiveUI (adjunct), 2016)

Moving obstacle avoidance for large, high-speed autonomous ground vehicles. - Huckleberry Febbo; Jiechao Liu; Paramsothy Jayakumar; Jeffrey L. Stein; Tulga Ersal (ACC, 2017)

A double-worst-case formulation for improving the robustness of an MPC-based obstacle avoidance algorithm to parametric uncertainty. - Jiechao Liu; Paramsothy Jayakumar; Jeffrey L. Stein; Tulga Ersal (ACC, 2017)

Stochastic mobility prediction of ground vehicles over large spatial regions: a geostatistical approach. - Ramón González; Paramsothy Jayakumar; Karl Iagnemma (Auton. Robots, 2017)

Combined Speed and Steering Control in High-Speed Autonomous Ground Vehicles for Obstacle Avoidance Using Model Predictive Control. - Jiechao Liu; Paramsothy Jayakumar; Jeffrey L. Stein; Tulga Ersal (IEEE Trans. Veh. Technol., 2017)

Modeling Human Steering Behavior During Path Following in Teleoperation of Unmanned Ground Vehicles. - Hossein Mirinejad; Paramsothy Jayakumar; Tulga Ersal (Hum. Factors, 2018)

Scalable Solvers for Cone Complementarity Problems in Frictional Multibody Dynamics. - Saibal De; Eduardo Corona; Paramsothy Jayakumar; Shravan K. Veerapaneni (HPEC, 2019)

Online terrain estimation for autonomous vehicles on deformable terrains. - James Dallas; Kshitij Jain 002; Zheng Dong; Michael P. Cole; Paramsothy Jayakumar; Tulga Ersal (CoRR, 2019)

Shared control architectures for vehicle steering. - Amir H. Ghasemi; Paramsothy Jayakumar; R. Brent Gillespie (Cogn. Technol. Work., 2019)

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 (ACC, 2020)

Real-time trajectory planning for automated vehicle safety and performance in dynamic environments. - Huckleberry Febbo; Paramsothy Jayakumar; Jeffrey L. Stein; Tulga Ersal (CoRR, 2020)

NLOptControl: A modeling language for solving optimal control problems. - Huckleberry Febbo; Paramsothy Jayakumar; Jeffrey L. Stein; Tulga Ersal (CoRR, 2020)

Neural network based terramechanics modeling and estimation for deformable terrains. - James Dallas; Michael P. Cole; Paramsothy Jayakumar; Tulga Ersal (CoRR, 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)

Utilizing Hyperspectral Remote Sensing for Soil Gradation. - Jordan Ewing; Thomas Oommen; Paramsothy Jayakumar; Russell Alger (Remote. Sens., 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)

Dynamic Semantic Occupancy Mapping using 3D Scene Flow and Closed-Form Bayesian Inference. - Aishwarya Unnikrishnan; Joseph Wilson; Lu Gan 006; Andrew Capodieci; Paramsothy Jayakumar; Kira Barton; Maani Ghaffari (CoRR, 2021)

Characterizing Soil Stiffness Using Thermal Remote Sensing and Machine Learning. - Jordan Ewing; Thomas Oommen; Paramsothy Jayakumar; Russell Alger (Remote. Sens., 2021)

Terrain Adaptive Trajectory Planning and Tracking on Deformable Terrains. - James Dallas; Michael P. Cole; Paramsothy Jayakumar; Tulga Ersal (IEEE Trans. Veh. Technol., 2021)

An Active Learning Framework for Constructing High-Fidelity Mobility Maps. - Gary R. Marple; David J. Gorsich; Paramsothy Jayakumar; Shravan K. Veerapaneni (IEEE Trans. Veh. Technol., 2021)

Dynamic Semantic Occupancy Mapping Using 3D Scene Flow and Closed-Form Bayesian Inference. - Aishwarya Unnikrishnan; Joey Wilson; Lu Gan 006; Andrew Capodieci; Paramsothy Jayakumar; Kira Barton; Maani Ghaffari (IEEE Access, 2022)

Tensor-Train Compression of Discrete Element Method Simulation Data. - Saibal De; Eduardo Corona; Paramsothy Jayakumar; Shravan K. Veerapaneni (CoRR, 2022)

Modeling Human Steering Behavior in Teleoperation of Unmanned Ground Vehicles With Varying Speed. - Chen Li; Yue Tang; Yingshi Zheng; Paramsothy Jayakumar; Tulga Ersal (Hum. Factors, 2022)

Continuous-variable optimization with neural network quantum states. - Yabin Zhang 004; David J. Gorsich; Paramsothy Jayakumar; Shravan K. Veerapaneni (Quantum Mach. Intell., 2022)

MotionSC: Data Set and Network for Real-Time Semantic Mapping in Dynamic Environments. - Joey Wilson; Jingyu Song; Yuewei Fu; Arthur Zhang; Andrew Capodieci; Paramsothy Jayakumar; Kira Barton; Maani Ghaffari (IEEE Robotics Autom. Lett., 2022)

R2-RRT*: Reliability-Based Robust Mission Planning of Off-Road Autonomous Ground Vehicle Under Uncertain Terrain Environment. - Chen Jiang; Zhen Hu; Zissimos P. Mourelatos; David J. Gorsich; Paramsothy Jayakumar; Yan Fu; Monica Majcher (IEEE Trans Autom. Sci. Eng., 2022)

Convolutional Bayesian Kernel Inference for 3D Semantic Mapping. - Joey Wilson; Yuewei Fu; Arthur Zhang; Jingyu Song; Andrew Capodieci; Paramsothy Jayakumar; Kira Barton; Maani Ghaffari (ICRA, 2023)

Terrain Characterization via Machine vs. Deep Learning Using Remote Sensing. - Jordan Ewing; Thomas Oommen; Jobin Thomas; Anush Kasaragod; Richard Dobson; Colin N. Brooks; Paramsothy Jayakumar; Michael Cole; Tulga Ersal (Sensors, 2023)

ConvBKI: Real-Time Probabilistic Semantic Mapping Network With Quantifiable Uncertainty. - Joey Wilson; Yuewei Fu; Joshua Friesen; Parker Ewen; Andrew Capodieci; Paramsothy Jayakumar; Kira Barton; Maani Ghaffari (IEEE Trans. Robotics, 2024)

Modeling Human Steering Behavior in Haptic Shared Control of Autonomy-Enabled Unmanned Ground Vehicles. - Chen Li; Michael Cole; Paramsothy Jayakumar; Tulga Ersal (Hum. Factors, 2024)

Comparing real and simulated performance for an off-road autonomous ground vehicle in obstacle avoidance. - Daniel W. Carruth; Christopher Goodin; Lalitha Dabbiru; Nicklaus Scherrer; Marc N. Moore; Christopher H. Hudson; Lucas D. Cagle; Paramsothy Jayakumar (J. Field Robotics, 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., 2024)

A Real-Time Terrain-Adaptive Local Trajectory Planner for High-Speed Autonomous Off-Road Navigation on Deformable Terrains. - Siyuan Yu; Congkai Shen; James Dallas; Bogdan I. Epureanu; Paramsothy Jayakumar; Tulga Ersal (IEEE Trans. Intell. Transp. Syst., 2025)

Variational quantum and neural quantum states algorithms for the linear complementarity problem. - Saibal De; Oliver Knitter; Rohan Kodati; Paramsothy Jayakumar; James Stokes; Shravan K. Veerapaneni (CoRR, 2025)