arXiv:2606.31494v1 Announce Type: cross Abstract: Humans and animals exhibit remarkable robustness in physical manipulation, yet robots remain far behind. Progress toward human-level manipulation robustness is hindered by the absence of a unified and systematic understanding: different subfields frame robustness in distinct ways, often leaving the concept ambiguous and limiting deeper analysis as well as communication across research areas. This paper presents a systematic study of manipulation robustness. We begin with a formal definition, characterizing robustness as the degree to which a ma
The proliferation of advanced AI computational models and increased investment in robotics research necessitates a deeper, unified understanding of robustness to make meaningful progress.
Achieving human-level robotic manipulation robustness is a critical bottleneck for wide-scale deployment of autonomous systems in diverse, unstructured environments, impacting various industries and geopolitical dynamics.
The proposed formal definition and systematic study of manipulation robustness provides a foundational framework, potentially accelerating interdisciplinary research and development in robotics.
- · Robotics researchers
- · Automation companies
- · Logistics sector
- · Defense industry
- · Companies relying on manual labor for complex tasks
- · Current robotic solutions lacking robustness
More reliable and adaptable robotic systems will emerge for manufacturing and specific task execution.
Ubiquitous deployment of robust robots could lead to significant labour market restructuring in physical task domains.
Enhanced robotic capabilities may shift geopolitical power dynamics through improved industrial and military autonomy.
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Read at arXiv cs.AI