An Expeditious and Expressive Vehicle Dynamics Model for Applications in Controls and Reinforcement Learning H Unjhawala, T Hansen, H Zhang, S Caldraru, S Chatterjee, L Bakke, ... IEEE Access, 2024 | 2 | 2024 |
Using a Bayesian-inference approach to calibrating models for simulation in robotics HM Unjhawala, R Zhang, W Hu, J Wu, R Serban, D Negrut Journal of Computational and Nonlinear Dynamics 18 (6), 061004, 2023 | 2 | 2023 |
Zero-Shot Policy Transferability for the Control of a Scale Autonomous Vehicle H Zhang, S Caldararu, S Ashokkumar, I Mahajan, A Young, A Ruiz, ... arXiv preprint arXiv:2309.09870, 2023 | 1 | 2023 |
Calibration of an expeditious terramechanics model using a higher-fidelity model, Bayesian inference, and a virtual bevameter test D Negrut, W Hu, P Li, HM Unjhawala, R Serban Authorea Preprints, 2023 | 1 | 2023 |
A Chrono-Based Framework for Large-Scale Traffic Simulation with Human-In-The-Loop Z Zhou, H Unjhawala, AV Kamaraj, A Kissel, JD Lee, R Serban, D Negrut Proceedings of theMultibody 2023 11th ECCOMAS Thematic Conference on …, 2023 | 1 | 2023 |
A Study on the Use of Simulation in Synthesizing Path-Following Control Policies for Autonomous Ground Robots H Zhang, S Caldararu, A Young, A Ruiz, H Unjhawala, I Mahajan, ... arXiv preprint arXiv:2403.18021, 2024 | | 2024 |
Quantifying the Sim2real Gap for GPS and IMU Sensors I Mahajan, H Unjhawala, H Zhang, Z Zhou, A Young, A Ruiz, S Caldararu, ... arXiv preprint arXiv:2403.11000, 2024 | | 2024 |
A Set of Reduced Order Vehicle Models for Applications in Machine Learning, State Estimation, and Control H Unjhawala | | 2024 |
Calibration of an expeditious terramechanics model using a higher‐fidelity model, Bayesian inference, and a virtual bevameter test W Hu, P Li, HM Unjhawala, R Serban, D Negrut Journal of Field Robotics, 2023 | | 2023 |
Technical Report TR–2023–08 H Unjhawala, I Mahajan, R Serban, D Negrut | | 2023 |
Technical Report TR–2023–05 S Caldararu, H Unjhawala, H Zhang, D Negrut | | 2023 |