Jun 24, 2021 · In this paper, we present a perception-action-communication loop design using Vision-based Graph Aggregation and Inference (VGAI).

Abstract—In this paper, we present a perception-action- communication loop design using Vision-based Graph Aggre- gation and Inference (VGAI).

LPAC: Learnable Perception-Action-Communication Loops with Applications to Coverage Control · Synthesizing Decentralized Controllers With Graph Neural Networks ...

Jan 10, 2022 · Abstract—In this paper, we present a perception-action- communication loop design using Vision-based Graph Aggregation and Inference (VGAI).

Sep 9, 2024 · In this paper, we present a perception-action-communication loop design using Vision-based Graph Aggregation and Inference (VGAI).

The code is used to reproduce the result of Scalable Perception-Action-Communication Loops with Convolutional and Graph Neural Networks.

Jun 24, 2021 · In this paper, we present a perception-action-communication loop design using Vision-based. Graph Aggregation and Inference (VGAI).

Sadler, “Scalable Perception-Action-Communication Loops with Convolutional and Graph Neural Networks,” arXiv:2106.13358v1 [cs.RO], 24 June 2021, submitted to ...

Jan 18, 2022 · By jointly training the CNN and GNN, image features and communication messages are learned in conjunction to better address the specific task.

Our framework is implemented by a cascade of a convolutional and a graph neural network (CNN / GNN), addressing agent-level visual perception and feature ...