Paramsothy Jayakumar

According to our database, Paramsothy Jayakumar authored at least 33 papers between 2015 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

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, May, 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, April, 2024

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

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

Convolutional Bayesian Kernel Inference for 3D Semantic Mapping.

Joey Wilson, Yuewei Fu, Arthur Zhang, Jingyu Song, Andrew Capodieci, Paramsothy Jayakumar, Kira Barton, Maani Ghaffari

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

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

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

Continuous-variable optimization with neural network quantum states.

Yabin Zhang, David J. Gorsich, Paramsothy Jayakumar, Shravan K. Veerapaneni

Quantum Mach. Intell., 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

Tensor-Train Compression of Discrete Element Method Simulation Data.

Saibal De, Eduardo Corona, Paramsothy Jayakumar, Shravan K. Veerapaneni

CoRR, 2022

Dynamic Semantic Occupancy Mapping Using 3D Scene Flow and Closed-Form Bayesian Inference.

Aishwarya Unnikrishnan, Joey Wilson, Lu Gan, Andrew Capodieci, Paramsothy Jayakumar, Kira Barton, Maani Ghaffari

IEEE Access, 2022

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

Terrain Adaptive Trajectory Planning and Tracking on Deformable Terrains.

James Dallas, Michael P. Cole, Paramsothy Jayakumar, Tulga Ersal

IEEE Trans. Veh. Technol., 2021

Characterizing Soil Stiffness Using Thermal Remote Sensing and Machine Learning.

Jordan Ewing, Thomas Oommen, Paramsothy Jayakumar, Russell Alger

Remote. Sens., 2021

Dynamic Semantic Occupancy Mapping using 3D Scene Flow and Closed-Form Bayesian Inference.

Aishwarya Unnikrishnan, Joseph Wilson, Lu Gan, Andrew Capodieci, Paramsothy Jayakumar, Kira Barton, Maani Ghaffari

CoRR, 2021

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

Utilizing Hyperspectral Remote Sensing for Soil Gradation.

Jordan Ewing, Thomas Oommen, Paramsothy Jayakumar, Russell Alger

Remote. Sens., 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

Neural network based terramechanics modeling and estimation for deformable terrains.

James Dallas, Michael P. Cole, Paramsothy Jayakumar, Tulga Ersal

CoRR, 2020

NLOptControl: A modeling language for solving optimal control problems.

Huckleberry Febbo, Paramsothy Jayakumar, Jeffrey L. Stein, Tulga Ersal

CoRR, 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

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

2019

Shared control architectures for vehicle steering.

Amir H. Ghasemi, Paramsothy Jayakumar, R. Brent Gillespie

Cogn. Technol. Work., 2019

Online terrain estimation for autonomous vehicles on deformable terrains.

James Dallas, Kshitij Jain, Zheng Dong, Michael P. Cole, Paramsothy Jayakumar, Tulga Ersal

CoRR, 2019

Scalable Solvers for Cone Complementarity Problems in Frictional Multibody Dynamics.

Saibal De, Eduardo Corona, Paramsothy Jayakumar, Shravan K. Veerapaneni

Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019

2018

Modeling Human Steering Behavior During Path Following in Teleoperation of Unmanned Ground Vehicles.

Hossein Mirinejad, Paramsothy Jayakumar, Tulga Ersal

Hum. Factors, 2018

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

Stochastic mobility prediction of ground vehicles over large spatial regions: a geostatistical approach.

Ramón González, Paramsothy Jayakumar, Karl Iagnemma

Auton. Robots, 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

Proceedings of the 2017 American Control Conference, 2017

Moving obstacle avoidance for large, high-speed autonomous ground vehicles.

Huckleberry Febbo, Jiechao Liu, Paramsothy Jayakumar, Jeffrey L. Stein, Tulga Ersal

Proceedings of the 2017 American Control Conference, 2017

2016

Role Negotiation in a Haptic Shared Control Framework.

Amir H. Ghasemi, Mishel Johns, Benjamin Garber, Paul Boehm, Paramsothy Jayakumar, Wendy Ju, R. Brent Gillespie

Proceedings of the Adjunct Proceedings of the 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2016

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