A new systems framework for trustworthy embodied intelligence has been proposed, integrating perception, decision-making, and physical interaction. This framework emphasizes sustained safe success by organizing mechanisms into four layers: model, system, evidence, and deployment. It aims to establish trustworthiness beyond mere task completion by considering reliability under variation and maintaining acceptable risk levels. The proposal also introduces a hierarchy of trustworthiness levels to grade claims across capability, safety, assurance, governance, and evidence, facilitating evaluation and standardization. AI
IMPACT Establishes a new standard for evaluating the safety and reliability of embodied AI systems, crucial for real-world applications.
RANK_REASON The item is an academic paper proposing a new framework for embodied intelligence. [lever_c_demoted from research: ic=1 ai=1.0]
- alphaXiv
- autonomous driving
- CatalyzeX
- Control
- DagsHub
- Dependable Computing
- distributed system
- Embodied Intelligence
- Gotit.pub
- Hugging Face
- Influence Flower
- robotics
- ScienceCast
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