593 citations · 845 across the 62 of their papers we have counts for
16 papers · 1 filter
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…
Collision Avoidance in Tightly-Constrained Environments without Coordination: a Hierarchical Control Approach
Xu Shen, Edward L. Zhu, Yvonne R. Stürz +1
We present a hierarchical control approach for maneuvering an autonomous vehicle (AV) in tightly-constrained environments where other moving AVs and/or human driven vehicles are pr…
Improving Urban Traffic Throughput with Vehicle Platooning: Theory and Experiments
Stanley W. Smith, Yeojun Kim, Jacopo Guanetti +7
In this paper we present a model-predictive control (MPC) based approach for vehicle platooning in an urban traffic setting. Our primary goal is to demonstrate that vehicle platoon…
Learning to Play Cup-and-Ball with Noisy Camera Observations
Monimoy Bujarbaruah, Tony Zheng, Akhil Shetty +2
Playing the cup-and-ball game is an intriguing task for robotics research since it abstracts important problem characteristics including system nonlinearity, contact forces and pre…
Robust MPC for Linear Systems with Parametric and Additive Uncertainty: A Novel Constraint Tightening Approach
Monimoy Bujarbaruah, Ugo Rosolia, Yvonne R Stürz +2
We propose a novel approach to design a robust Model Predictive Controller (MPC) for constrained uncertain linear systems. The uncertain system is modeled as linear parameter varyi…
Distributed Learning Model Predictive Control for Linear Systems
Yvonne R. Stürz, Edward L. Zhu, Ugo Rosolia +2
This paper presents a distributed learning model predictive control (DLMPC) scheme for distributed linear time invariant systems with coupled dynamics and state constraints. The pr…