activity
20142019
most citedSparsity-Sensitive Finite Abstraction

11 citations · 12 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SY2019

Flexible Computational Pipelines for Robust Abstraction-Based Control Synthesis

Eric S. Kim, Murat Arcak, Sanjit A. Seshia

Successfully synthesizing controllers for complex dynamical systems and specifications often requires leveraging domain knowledge as well as making difficult computational or mathe…

eess.SY2018★ 1 cited

Abstractions for Symbolic Controller Synthesis are Composable

Eric S. Kim, Murat Arcak

Translating continuous control system models into finite automata allows us to use powerful discrete tools to synthesize controllers for complex specifications. The abstraction con…

eess.SY2018

Automatic Generation of Communication Requirements for Enforcing Multi-Agent Safety

Eric S. Kim, Murat Arcak, Sanjit A. Seshia +2

Distributed controllers are often necessary for a multi-agent system to satisfy safety properties such as collision avoidance. Communication and coordination are key requirements i…

eess.SY2017★ 11 cited

Sparsity-Sensitive Finite Abstraction

Felix Gruber, Eric S. Kim, Murat Arcak

Abstraction of a continuous-space model into a finite state and input dynamical model is a key step in formal controller synthesis tools. To date, these software tools have been li…

eess.SY2014

A Learning Based Approach to Control Synthesis of Markov Decision Processes for Linear Temporal Logic Specifications

Dorsa Sadigh, Eric S. Kim, Samuel Coogan +2

We propose to synthesize a control policy for a Markov decision process (MDP) such that the resulting traces of the MDP satisfy a linear temporal logic (LTL) property. We construct…