An Embodied Multiagent Framework Based on Token Communications for Cooperative ISAC
To deal with this problem, this paper investigates a cooperative ISAC network of embodied UAV agents and formulates a joint token communications (TokCom) and physical control problem to minimize total propulsion energy subject to communication and sensing rate requirements.
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Key points
- The emerging low-altitude economy demands unmanned aerial vehicle (UAV)-enabled integrated sensing and communication (ISAC) for reliable connectivity and environmental awareness.
- In particular, embodied UAV agents offer a promising means of supporting autonomous operations through a closed loop linking perception, decision-making, and physical actions.
- Then, we propose a state--intent TokCom (SI-TokCom) framework driven by multi-agent embodied policy learning.
- Specifically, separate pretrained codebooks enable compact exchanges of local states and intentions, while UAV agents jointly learn to select and compose tokens and determine physical actions based on local observations and received tokens.
Sources (1)
- [1]An Embodied Multiagent Framework Based on Token Communications for Cooperative ISACarXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 8, 07:56 AM
To deal with this problem, this paper investigates a cooperative ISAC network of embodied UAV agents and formulates a joint token communications (TokCom) and physical control problem to minimize total propulsion energy subject to communication and sensing rate requirements.
The emerging low-altitude economy demands unmanned aerial vehicle (UAV)-enabled integrated sensing and communication (ISAC) for reliable connectivity and environmental awareness.
Extractive summary: sentences quoted from the sources.
