NavIsaacLab presents a new simulation platform combining photo-realistic rendering, parallel GPU execution, and data-driven pedestrian models to benchmark and train human-aware robot navigation policies.
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cs.RO 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
IR-SIM is a YAML-defined simulator for mobile robot navigation that supports text-prompt scenario creation, policy training, benchmarking, and bridging to higher-fidelity or real-world settings.
citing papers explorer
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NavIsaacLab: Generating Realistic Crowd via Parallel Robot Learning for Benchmarking Human-aware Navigation
NavIsaacLab presents a new simulation platform combining photo-realistic rendering, parallel GPU execution, and data-driven pedestrian models to benchmark and train human-aware robot navigation policies.
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IR-SIM: A Lightweight Skill-Native Simulator for Navigation, Learning, and Benchmarking
IR-SIM is a YAML-defined simulator for mobile robot navigation that supports text-prompt scenario creation, policy training, benchmarking, and bridging to higher-fidelity or real-world settings.