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20172022
most citedR-MADDPG for Partially Observable Environments and Limited Communication

64 citations · 101 across the 31 of their papers we have counts for

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36 papers · 1 filter

cs.RO2022

Mission-Aware Value of Information Censoring for Distributed Filtering

Miguel Calvo-Fullana, Jonathan P. How

In this paper, we study the problem of distributed estimation with an emphasis on communication-efficiency. The proposed algorithm is based on a windowed maximum a posteriori (MAP)…

cs.RO20221 cited

Robust MADER: Decentralized and Asynchronous Multiagent Trajectory Planner Robust to Communication Delay

Kota Kondo, Jesus Tordesillas, Reinaldo Figueroa +4

Although communication delays can disrupt multiagent systems, most of the existing multiagent trajectory planners lack a strategy to address this issue. State-of-the-art approaches…

cs.RO2022

Output Feedback Tube MPC-Guided Data Augmentation for Robust, Efficient Sensorimotor Policy Learning

Andrea Tagliabue, Jonathan P. How

Imitation learning (IL) can generate computationally efficient sensorimotor policies from demonstrations provided by computationally expensive model-based sensing and control algor…

cs.RO20223 cited

View-Invariant Localization using Semantic Objects in Changing Environments

Jacqueline Ankenbauer, Kaveh Fathian, Jonathan P. How

This paper proposes a novel framework for real-time localization and egomotion tracking of a vehicle in a reference map. The core idea is to map the semantic objects observed by th…

cs.RO20221 cited

Global Data Association for SLAM with 3D Grassmannian Manifold Objects

Parker C. Lusk, Jonathan P. How

Using pole and plane objects in lidar SLAM can increase accuracy and decrease map storage requirements compared to commonly-used point cloud maps. However, place recognition and ge…

cs.RO2022

Distributed Filtering with Value of Information Censoring

Miguel Calvo-Fullana, Jonathan P. How

This work presents a distributed estimation algorithm that efficiently uses the available communication resources. The approach is based on Bayesian filtering that is distributed a…