activity
20182020
most citedA Reinforcement Learning Framework for Sequencing Multi-Robot Behaviors

3 citations · 6 across the 6 of their papers we have counts for

collaborators

8 papers

eess.SY2020

Safety With Limited Range Sensing Constraints For Fixed Wing Aircraft

Eric Squires, Rohit Konda, Pietro Pierpaoli +2

In this paper we discuss how to use a barrier function that is subject to kinematic constraints and limited sensing in order to guarantee that fixed wing unmanned aerial vehicles (…

cs.RO2020

Resilient Monitoring in Heterogeneous Multi-robot Systems through Network Reconfiguration

Ragesh K. Ramachandran, Pietro Pierpaoli, Magnus Egerstedt +1

We propose a framework for resilience in a networked heterogeneous multi-robot team subject to resource failures. Each robot in the team is equipped with resources that it shares w…

cs.RO2019★ 3 cited

A Reinforcement Learning Framework for Sequencing Multi-Robot Behaviors

Pietro Pierpaoli, Thinh T. Doan, Justin Romberg +1

Given a list of behaviors and associated parameterized controllers for solving different individual tasks, we study the problem of selecting an optimal sequence of coordinated beha…

cs.RO2019★ 2 cited

Inferring and Learning Multi-Robot Policies by Observing an Expert

Pietro Pierpaoli, Harish Ravichandar, Nicholas Waytowich +3

We present a technique for learning how to solve a multi-robot mission that requires interaction with an external environment by observing an expert system executing the same missi…

cs.RO2019

A Sequential Composition Framework for Coordinating Multi-Robot Behaviors

Pietro Pierpaoli, Anqi Li, Mohit Srinivasan +3

A number of coordinated behaviors have been proposed for achieving specific tasks for multi-robot systems. However, since most applications require more than one such behavior, one…

cs.RO2019★ 1 cited

Composition of Safety Constraints For Fixed-Wing Collision Avoidance Amidst Limited Communications

Eric Squires, Pietro Pierpaoli, Rohit Konda +2

This paper considers how to ensure that a system of fixed wing Unmanned Aerial Vehicles (UAVs) can avoid collisions. To do so we develop a novel method for creating a barrier funct…

cs.RO2018

Voluntary Retreat for Decentralized Interference Reduction in Robot Swarms

Siddharth Mayya, Pietro Pierpaoli, Magnus Egerstedt

In densely-packed robot swarms operating in confined regions, spatial interference -- which manifests itself as a competition for physical space -- forces robots to spend more time…

eess.SY2018

Fault Tolerant Control for Networked Mobile Robots

Pietro Pierpaoli, Dominique Sauter, Magnus Egerstedt

Teams of networked autonomous agents have been used in a number of applications, such as mobile sensor networks and intelligent transportation systems. However, in such systems, th…