42 citations · 338 across the 135 of their papers we have counts for
18 papers · 1 filter
Synergistic Perception and Control Simplex for Verifiable Safe Vertical Landing
Ayoosh Bansal, Yang Zhao, James Zhu +6
Perception, Planning, and Control form the essential components of autonomy in advanced air mobility. This work advances the holistic integration of these components to enhance the…
DiffTune-MPC: Closed-Loop Learning for Model Predictive Control
Ran Tao, Sheng Cheng, Xiaofeng Wang +2
Model predictive control (MPC) has been applied to many platforms in robotics and autonomous systems for its capability to predict a system's future behavior while incorporating co…
Multi-population opinion dynamics model
Tigran Bakaryan, Yuliang Gu, Naira Hovakimyan +2
We introduce multi-population opinion dynamics models linked to the bounded confidence model, aiming to explore how interactions between individuals contribute to the emergence of…
ReConTab: Regularized Contrastive Representation Learning for Tabular Data
Suiyao Chen, Jing Wu, Naira Hovakimyan +1
Representation learning stands as one of the critical machine learning techniques across various domains. Through the acquisition of high-quality features, pre-trained embeddings s…
Robust Adaptive MPC Using Uncertainty Compensation
Ran Tao, Pan Zhao, Ilya Kolmanovsky +1
This paper presents an uncertainty compensation-based robust adaptive model predictive control (MPC) framework for linear systems with both matched and unmatched nonlinear uncertai…
Learning Tube-Certified Control using Robust Contraction Metrics
Vivek Sharma, Pan Zhao, Naira Hovakimyan
Control design for general nonlinear robotic systems with guaranteed stability and/or safety in the presence of model uncertainties is a challenging problem. Recent efforts attempt…