AI's Physical Frontier: TorqueAGI Founder Demands Strict Safety and Transparency Now

In a crucial call to action, Ashutosh Saxena, founder of the Palo Alto-based startup TorqueAGI, is urging the tech industry to establish strict safety boundaries and ensure 'interpretability' for physical AI systems. Saxena emphasized that as robots increasingly enter our daily lives, it's vital to make them 'reason through their decisions' to prevent any physical harm. This comes as TorqueAGI, backed by investors like Rackhouse and Trucks Venture Capital, actively collaborates with tech giants such as Nvidia to advance enterprise robotics with a strong focus on real-world deployment. This urgent push for ethical AI comes amidst a rapidly evolving landscape where physical AI moves beyond screens into shared physical environments, bringing new risks and demanding greater human-machine accountability. Leading organizations like PwC are highlighting the need for robust governance, while NVIDIA launched its 'Halos for Robotics' in June 2026, a full-stack safety system designed to extend autonomous vehicle safety to industrial robots and humanoids. Moreover, global bodies and governments are actively developing regulations, with the EU AI Act and US state laws beginning to define compliance for high-risk AI systems, stressing transparency and accountability. The immediate future will see intensified efforts to bridge the gap between AI innovation and real-world safety standards. Companies like TÜV SÜD and Accenture, in partnership with Nvidia, are already rolling out 'Physical AI Safety Suites' to speed up certification for robots in factories and warehouses using digital twins. The challenge now is for developers, policymakers, and industry leaders to collaborate on creating practical frameworks that ensure advanced physical AI systems can operate reliably and safely, building public trust as these intelligent machines become integral to our world.