Multirobot manipulation
Simulation-First Multi-Robot Ecosystems for Lunar Resource Extraction
SoftServe’s multi-robot simulation ecosystem strategically enables virtual testing and refinement of heterogeneous robotic fleets—rovers, drones, excavators—working together to explore and extract lunar resources. Built upon high-fidelity simulation environments using NVIDIA Omniverse™ and Isaac Sim™, this approach allows teams to rigorously test collaboration, coordination, and mission logic before deploying to the actual lunar surface .
Autonomous Orchestration and Resilient Mission Planning
At the core of SoftServe’s vision is a robust multi-robot mission orchestrator that treats a fleet as a coordinated, intelligent system. This platform supports real-time task coordination, hardware-agnostic adaptability, built-in redundancy, and autonomous reallocation—all powered by AI-driven decision-making. This ensures that teams can scale operations efficiently and handle unforeseen failures, ultimately reducing risk and increasing mission reliability .
L‑REX: Simulated Lunar Excavation with Terramechanics
SoftServe’s L‑REX project demonstrates hands-on simulation-first development for a robotic lunar excavator designed to interact with icy regolith. The simulated model includes a wheeled rover, a multi-hinged arm with a vibrating scoop, synchronized with multispectral vision and terramechanics-based physics of soil interaction. Using ROS 2 and NVIDIA Isaac Sim™ co-simulated with FMU/FMI-based modeling, teams can virtually visualize and optimize excavation performance in lifelike lunar terrains
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Further reading
🚛 Whitepaper: Leveraging multi-robot simulation for lunar resource extraction
🚛 Multi-robot on the Moon: Mission planning
🚛 Whitepaper: Multi-robot on the Moon: One-pager