activity
20242026
collaborators

5 papers

cs.AI2026

Multi-Agent Planning with Spatio-Temporal and Topological Constraints using STL-GO

Sheryl Paul, Vidisha Kudalkar, Anand Balakrishnan +3

Multi-agent planning problems arise in a variety of engineering applications, such as multi-robot wildfire fighting and unmanned aerial inspection in factories. A particular challe…

cs.LO2026

An Algebraic Framework for Quantitative Semantics of Spatio-Temporal Logic with Graph Operators

Sheryl Paul, Vidisha Kudalkar, Anand Balakrishnan +3

Spatio-Temporal Logic with Graph Operators (STL-GO) extends Signal Temporal Logic (STL) to multi-agent systems via graph operators that count neighboring agents satisfying a proper…

cs.LO2025

Monitoring Spatially Distributed Cyber-Physical Systems with Alternating Finite Automata

Anand Balakrishnan, Sheryl Paul, Simone Silvetti +2

Modern cyber-physical systems (CPS) can consist of various networked components and agents interacting and communicating with each other. In the context of spatially distributed CP…

cs.MA2024

Multi-agent Path Finding for Timed Tasks using Evolutionary Games

Sheryl Paul, Anand Balakrishnan, Xin Qin +1

Autonomous multi-agent systems such as hospital robots and package delivery drones often operate in highly uncertain environments and are expected to achieve complex temporal task…

cs.FL2024

Motion Planning for Automata-based Objectives using Efficient Gradient-based Methods

Anand Balakrishnan, Merve Atasever, Jyotirmoy V. Deshmukh

In recent years, there has been increasing interest in using formal methods-based techniques to safely achieve temporal tasks, such as timed sequence of goals, or patrolling object…