Bogdan I. Vlahov

According to our database, Bogdan I. Vlahov authored at least 12 papers between 2018 and 2026.

Collaborative distances:

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

2026

Multistep Belief Space Dynamics Learning For Risk-Aware Control.

Jason Gibson, Bogdan I. Vlahov, Patrick Spieler, Evangelos A. Theodorou

CoRR, May, 2026

2025

Meta-Learning Online Dynamics Model Adaptation in Off-Road Autonomous Driving.

Jacob Levy, Jason Gibson, Bogdan I. Vlahov, Erica Tevere, Evangelos A. Theodorou, David Fridovich-Keil, Patrick Spieler

CoRR, April, 2025

2024

Low Frequency Sampling in Model Predictive Path Integral Control.

Bogdan I. Vlahov, Jason Gibson, David D. Fan, Patrick Spieler, Ali-akbar Agha-mohammadi, Evangelos A. Theodorou

IEEE Robotics Autom. Lett., May, 2024

MPPI-Generic: A CUDA Library for Stochastic Optimization.

Bogdan I. Vlahov, Jason Gibson, Manan Gandhi, Evangelos A. Theodorou

CoRR, 2024

2023

A Multi-step Dynamics Modeling Framework For Autonomous Driving In Multiple Environments.

Jason Gibson, Bogdan I. Vlahov, David D. Fan, Patrick Spieler, Daniel Pastor, Ali-akbar Agha-mohammadi, Evangelos A. Theodorou

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

2022

Constrained Covariance Steering Based Tube-MPPI.

Isin M. Balci, Efstathios Bakolas, Bogdan I. Vlahov, Evangelos A. Theodorou

Proceedings of the American Control Conference, 2022

2021

Robust Model Predictive Path Integral Control: Analysis and Performance Guarantees.

Manan Gandhi, Bogdan I. Vlahov, Jason Gibson, Grady Williams, Evangelos A. Theodorou

IEEE Robotics Autom. Lett., 2021

Variational Inference MPC using Tsallis Divergence.

Ziyi Wang, Oswin So, Jason Gibson, Bogdan I. Vlahov, Manan Gandhi, Guan-Horng Liu, Evangelos A. Theodorou

Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Approximate Inverse Reinforcement Learning from Vision-based Imitation Learning.

Keuntaek Lee, Bogdan I. Vlahov, Jason Gibson, James M. Rehg, Evangelos A. Theodorou

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2019

Ensemble Bayesian Decision Making with Redundant Deep Perceptual Control Policies.

Keuntaek Lee, Ziyi Wang, Bogdan I. Vlahov, Harleen K. Brar, Evangelos A. Theodorou

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

2018

Online Center of Mass Estimation for a Humanoid Wheeled Inverted Pendulum Robot.

Munzir Zafar, Akash Patel, Bogdan I. Vlahov, Nathaniel Glaser, Sergio Aguillera, Seth Hutchinson

CoRR, 2018

On Developing a UAV Pursuit-Evasion Policy Using Reinforcement Learning.

Bogdan I. Vlahov, Eric Squires, Laura G. Strickland, Charles Pippin

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018