Mass Adoption Of ChatGPT Humanoid Robots Could Take Two To Ten Years Experts Predict

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The vision of humanoid robots becoming as ubiquitous as common household appliances remains on the horizon, with industry leaders offering varying timelines for a definitive breakthrough. During a panel discussion at the Boao Forum for Asia on Wednesday (25 March), experts suggested that a “ChatGPT moment” for the robotics industry—signalling mass adoption—could occur anywhere between two and ten years from now. The conversation highlighted that while the potential for robots to perform domestic tasks like chopping vegetables or folding laundry is vast, significant hurdles in reliability and real-world application persist.

Wang Xiaogang, the chairman of Daxiao Robotics and co-founder of SenseTime, expressed a more optimistic outlook, suggesting that the breakthrough could arrive in as little as two years. He emphasised the necessity of scaling data to significantly higher levels through the use of world models and advanced simulations. By moves beyond simple data reaction to systems that can predict and simulate complex physical environments, the development process for these machines can be drastically accelerated. This approach aims to bridge the gap between controlled laboratory settings and the unpredictable nature of everyday life.

In contrast, Shao Hao, the chief expert at Vivo’s robotics lab, provided a more conservative estimate of approximately one decade. He pointed to the immense challenge of acquiring the vast amounts of low-cost, high-quality data required to train robots for intricate real-world manual tasks. Rather than a single transformative event, most panellists agreed that progress would likely be incremental, with humanoid technology gradually integrating into various industrial and service sectors across the globe before becoming a household staple.

The discussion coincides with China’s intensified focus on “embodied intelligence,” a term highlighted during the nation’s recent “Two Sessions” political meetings as a key future industry. Despite high-profile public appearances of robots performing acrobatics and martial arts at the Spring Festival Gala, executives like Baidu’s Shen Dou noted that physical capabilities still lag behind digital intelligence. Issues regarding the stability, durability, and manual dexterity of robot bodies remain primary bottlenecks that must be resolved before reaching an “iPhone moment” for the industry.

Beyond technical specifications, the forum addressed the critical issue of public trust and governance. Former New Zealand Prime Minister Jenny Shipley noted that for robots to be accepted by ordinary people, they must demonstrate reliability and respect clear boundaries, particularly by avoiding interference in human emotional judgment. Concurrently, policy experts highlighted the importance of governance frameworks, citing Singapore’s Model AI Governance Framework for Agentic AI as a leading example of how to balance rapid innovation with necessary safeguards regarding safety, data use, and labour displacement.

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