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20162024
most citedGraph Neural Networks for Decentralized Multi-Agent Perimeter Defense

28 citations · 61 across the 10 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

math.OC20233 cited

Augmented Lagrangian Methods as Layered Control Architectures

Anusha Srikanthan, Vijay Kumar, Nikolai Matni

For optimal control problems that involve planning and following a trajectory, two degree of freedom (2DOF) controllers are a ubiquitously used control architecture that decomposes…

cs.RO20231 cited

TreeScope: An Agricultural Robotics Dataset for LiDAR-Based Mapping of Trees in Forests and Orchards

Derek Cheng, Fernando Cladera Ojeda, Ankit Prabhu +6

Data collection for forestry, timber, and agriculture currently relies on manual techniques which are labor-intensive and time-consuming. We seek to demonstrate that robotics offer…

cs.RO2023

A Data-Driven Approach to Synthesizing Dynamics-Aware Trajectories for Underactuated Robotic Systems

Anusha Srikanthan, Fengjun Yang, Igor Spasojevic +3

We consider joint trajectory generation and tracking control for under-actuated robotic systems. A common solution is to use a layered control architecture, where the top layer use…

cs.RO20238 cited

RotorPy: A Python-based Multirotor Simulator with Aerodynamics for Education and Research

Spencer Folk, James Paulos, Vijay Kumar

Simulators play a critical role in aerial robotics both in and out of the classroom. We present RotorPy, a simulation environment written entirely in Python intentionally designed…

cs.RO2023

Active Collaborative Localization in Heterogeneous Robot Teams

Igor Spasojevic, Xu Liu, Alejandro Ribeiro +2

Accurate and robust state estimation is critical for autonomous navigation of robot teams. This task is especially challenging for large groups of size, weight, and power (SWAP) co…

cs.MA202328 cited

Graph Neural Networks for Decentralized Multi-Agent Perimeter Defense

Elijah S. Lee, Lifeng Zhou, Alejandro Ribeiro +1

In this work, we study the problem of decentralized multi-agent perimeter defense that asks for computing actions for defenders with local perceptions and communications to maximiz…