12 citations · 13 across the 6 of their papers we have counts for
6 papers
Energy-Aware Lane Planning for Connected Electric Vehicles in Urban Traffic: Design and Vehicle-in-the-Loop Validation
Hansung Kim, Eric Yongkeun Choi, Eunhyek Joa +4
Urban driving with connected and automated vehicles (CAVs) offers potential for energy savings, yet most eco-driving strategies focus solely on longitudinal speed control within a…
Fast Stochastic MPC using Affine Disturbance Feedback Gains Learned Offline
Hotae Lee, Francesco Borrelli
We propose a novel Stochastic Model Predictive Control (MPC) for uncertain linear systems subject to probabilistic constraints. The proposed approach leverages offline learning to…
Predictive Control for Autonomous Driving with Uncertain, Multi-modal Predictions
Siddharth H. Nair, Hotae Lee, Eunhyek Joa +3
We propose a Stochastic MPC (SMPC) formulation for path planning with autonomous vehicles in scenarios involving multiple agents with multi-modal predictions. The multi-modal predi…
Energy-Efficient Lane Changes Planning and Control for Connected Autonomous Vehicles on Urban Roads
Eunhyek Joa, Hotae Lee, Eric Yongkeun Choi +1
This paper presents a novel energy-efficient motion planning algorithm for Connected Autonomous Vehicles (CAVs) on urban roads. The approach consists of two components: a decision-…
Stochastic MPC with Realization-Adaptive Constraint Tightening
Hotae Lee, Monimoy Bujarbaruah, Francesco Borrelli
This paper presents a stochastic model predictive controller (SMPC) for linear time-invariant systems in the presence of additive disturbances. The distribution of the disturbance…
Learning How to Solve Bubble Ball
Hotae Lee, Monimoy Bujarbaruah, Francesco Borrelli
"Bubble Ball" is a game built on a 2D physics engine, where a finite set of objects can modify the motion of a bubble-like ball. The objective is to choose the set and the initial…