arXiv:2606.08729v1 Announce Type: cross Abstract: Simulation plays a key role in automated robotics research supported by large language models (LLMs). However, existing simulators often require custom code or complex interfaces, creating a barrier to rapid prototyping and automated algorithm development. To this end, we propose the Intelligent Robot Simulator (IR-SIM), a lightweight skill-native navigation simulator designed for rapid scenario construction, benchmarking, and robot learning. In IR-SIM, scenarios are entirely defined by YAML configuration files that specify mobile robot kinemat
The increasing complexity of robotic systems, especially with the integration of large language models (LLMs), demands more efficient simulation tools for rapid development and benchmarking.
A lightweight, skill-native simulator like IR-SIM can significantly accelerate the development and deployment of autonomous robots, reducing prototyping barriers and fostering innovation in robotics and AI.
The speed and accessibility of developing and testing complex robotic behaviors are improved, making advanced robotics more amenable to rapid iteration and wider participation.
- · Robotics research institutions
- · AI developers
- · Automation companies
- · Simulation software providers
- · Companies relying on complex, custom simulation environments
- · Legacy robotics hardware without good simulation interfaces
More sophisticated and nuanced robotic capabilities can be developed and validated faster.
This could lead to a faster commercialization pathway for general-purpose robotic systems, including humanoid robots.
Accelerated robotics development, supported by accessible simulation, may further drive the integration of AI agents into physical environments, impacting various sectors.
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Read at arXiv cs.LG