NVIDIA has announced Halos for Robotics, described as the industry's first full-stack safety system designed for Physical AI. The system is reportedly built on over 18,600 engineering years of autonomous vehicle safety development, leveraging NVIDIA's deep expertise in self-driving technology.

Lukas Ziegler highlights this as a significant milestone, noting that humanoid robots are on the verge of operating in real-world environments. The announcement signals NVIDIA's push to establish safety standards and infrastructure for the emerging robotics and physical AI industry, transferring hard-won safety lessons from autonomous vehicles to a new domain.

This paper introduces Human-Centered Human-AI Collaboration (HCHAC), a framework that redefines the relationship between humans and AI systems in the intelligent era. The authors argue that as AI agents evolve from passive tools to active teammates, the collaboration paradigm must shift accordingly, with humans maintaining critical leadership roles throughout. The chapter, part of an upcoming Handbook of Human-Centered Artificial Intelligence, reviews current research methodologies and agendas within the HAC field through the lens of Human-Centered AI (HCAI).

The proposed HCHAC framework integrates existing research to address the unique challenges of human-AI collaboration, including effectiveness, reliability, and ethical integration. A case study on autonomous vehicles demonstrates practical applications of the framework, illustrating how synergistic interactions between humans and AI agents can function in real-world contexts. The paper concludes by identifying future research directions aimed at improving human-centered HAC systems across diverse domains, emphasizing that the design of collaborative AI must prioritize human agency and oversight rather than full automation.