[2603.20308] Reason-to-Transmit: Deliberative Adaptive Communication for Cooperative Perception

[2603.20308] Reason-to-Transmit: Deliberative Adaptive Communication for Cooperative Perception

arXiv - AI 3 min read

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Abstract page for arXiv paper 2603.20308: Reason-to-Transmit: Deliberative Adaptive Communication for Cooperative Perception

Computer Science > Multiagent Systems arXiv:2603.20308 (cs) [Submitted on 19 Mar 2026] Title:Reason-to-Transmit: Deliberative Adaptive Communication for Cooperative Perception Authors:Aayam Bansal, Ishaan Gangwani View a PDF of the paper titled Reason-to-Transmit: Deliberative Adaptive Communication for Cooperative Perception, by Aayam Bansal and Ishaan Gangwani View PDF HTML (experimental) Abstract:Cooperative perception among autonomous agents overcomes the limitations of single-agent sensing, but bandwidth constraints in vehicle-to-everything (V2X) networks require efficient communication policies. Existing approaches rely on reactive mechanisms, such as confidence maps, learned gating, or sparse masks, to decide what to transmit, without reasoning about why a message benefits the receiver. We introduce Reason-to-Transmit (R2T), a framework that equips each agent with a lightweight transformer-based module that reasons over local scene context, estimated neighbor information gaps, and bandwidth budget to make per-region transmission decisions. Trained end-to-end with a bandwidth-aware objective, R2T is evaluated against nine baselines in a multi-agent bird's-eye-view perception environment. Any communication improves performance by about 58% AP over no communication. At low bandwidth, all selective methods perform similarly, but R2T shows clear gains under high occlusion, where information asymmetry is greatest, approaching oracle performance. All methods degrade gracef...

Originally published on March 24, 2026. Curated by AI News.

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