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HERCULES simulator enables heterogeneous multi-robot autonomy

Researchers have introduced HERCULES, an open-source simulation framework designed for heterogeneous multi-robot autonomy. Built on Unreal Engine 5's AirSim and Cosys-AirSim, HERCULES addresses limitations in previous systems to allow for simultaneous operation of unmanned aerial and ground vehicles in complex, realistic environments. The framework includes a new controller for ground vehicles, a unified navigation stack for mapping and planning, and advanced sensors like physics-based LWIR cameras. HERCULES supports both data generation for reproducible datasets and active closed-loop planning, with experiments demonstrating its utility in multi-robot SLAM, collaborative perception, and exploration. AI

IMPACT Enables advanced research in multi-robot coordination and autonomous systems.

RANK_REASON The item describes a new open-source simulation framework for robotics research. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.MA (Multiagent) →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

HERCULES simulator enables heterogeneous multi-robot autonomy

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The item describes a new open-source simulation framework for robotics research. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.MA (Multiagent) TIER_1 English(EN) · Lu Gan ·

    HERCULES: An Open-Source Simulation Framework for Heterogeneous Multi-Robot SLAM, Collaborative Perception, and Exploration

    We present HERCULES, an open-source simulator and data-collection pipeline for heterogeneous multi-robot autonomy. Built upon the Unreal Engine 5 (UE5)-based simulators AirSim and Cosys-AirSim, HERCULES resolves key architectural limitations of prior frameworks to enable concurre…