A Comprehensive Survey on Physical Risk Control in the Era of Foundation Model-enabled Robotics
Takeshi Kojima, Yaonan Zhu, Yusuke Iwasawa, Toshinori Kitamura, Gang Yan, Shu Morikuni, Ryosuke Takanami, Alfredo Solano, Tatsuya Matsushima, Akiko Murakami, Yutaka Matsuo

TL;DR
This survey reviews control strategies for foundation model-enabled robots to mitigate physical risks across all stages, highlighting gaps in pre-incident mitigation, human interaction safety, and foundation model issues.
Contribution
It provides a comprehensive, stage-wise analysis of physical risk control methods in FMRs, emphasizing areas needing further research and safety considerations.
Findings
Significant research gaps in pre-incident risk mitigation.
Limited studies on physical interaction with humans.
Key issues related to foundation model safety and reliability.
Abstract
Recent Foundation Model-enabled robotics (FMRs) display greatly improved general-purpose skills, enabling more adaptable automation than conventional robotics. Their ability to handle diverse tasks thus creates new opportunities to replace human labor. However, unlike general foundation models, FMRs interact with the physical world, where their actions directly affect the safety of humans and surrounding objects, requiring careful deployment and control. Based on this proposition, our survey comprehensively summarizes robot control approaches to mitigate physical risks by covering all the lifespan of FMRs ranging from pre-deployment to post-accident stage. Specifically, we broadly divide the timeline into the following three phases: (1) pre-deployment phase, (2) pre-incident phase, and (3) post-incident phase. Throughout this survey, we find that there is much room to study (i)…
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Taxonomy
TopicsSocial Robot Interaction and HRI · Human-Automation Interaction and Safety · Autonomous Vehicle Technology and Safety
