Network-in-the-Loop at Scale: GPU-Batched 5G Simulation for Massively Parallel Robot Learning

cs.NI, cs.AI, cs.DC, cs.RO

Submitted: 2026-10-01

Updated: 2026-10-01

Comments: It is open source at https://github.com/ZzZTripleZzZ/isaac-net

Code: https://github.com/ZzZTripleZzZ/isaac-net

Project page: https://isaacnet.zifanzhang.com

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Sources

• Isaac Lab: A GPU-Accelerated Simulation Framework for Multi-Modal Robot Learning
• SimART: A Unified and Open Real-world Multimodal Simulation Platform for 6G Integrated Sensing and Communication
• Coupled Control and Wireless World Models for Resilient Remote Robotic Control
• CALF: Communication-Aware Learning Framework for Distributed Reinforcement Learning
• AgentComm-Bench: Stress-Testing Cooperative Embodied AI Under Latency, Packet Loss, and Bandwidth Collapse

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