SOURCE-LINKED INTELLIGENCE
Benchmarking Robots for Everyday Environments: From Lab Experiments to Real-World Operations
This study introduces an interdisciplinary framework for benchmarking robots deployed in public environments, addressing the gap between traditional laboratory metrics and real-world benchmarking requirements. We evaluate three distinct robots across diverse use cases - outdoor park cleaning, pedestrian underpass cleaning, and interactive library assistance - each representing unique challenges in public daily life. Over a three-year benchmarking process (2023-2025) comprising seven benchmarking events, a consensus workshop and six on-site evaluations (two per use case), we utilized realistic
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-22T14:28:44.000Z
First collected: 2026-09-23T04:11:12.117Z. This is not the publication date.