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Interactive Navigation Reasoning on InterNav-VLM (test)

80.21AccuracyInterNav-VLM
19.026834.910950.79566.6791Jan 7, 2026

Evaluation results

MethodLinks
InterNav-VLMRobot Type=Wheeled2026.0180.21
InterNav-VLMInput=RGB2026.0178.35
InterNav-VLMRobot Type=Legged Manipulator2026.0176.45
Gemini-2.5-ProRobot Type=Wheeled2026.0168.63
GPT-4oRobot Type=Wheeled2026.0158.89
Gemini-2.5-ProInput=RGB2026.0158.34
GPT-4oInput=RGB2026.0148.64
Qwen3-VL-8B-InstructRobot Type=Wheeled2026.0145.44
Gemini-2.5-ProRobot Type=Legged Manipulator2026.0145.09
GPT-4oRobot Type=Legged Manipulator2026.0138.13
Qwen3-VL-8B-InstructInput=RGB2026.0133.56
Qwen3-VL-8B-InstructRobot Type=Legged Manipulator2026.0121.38