Synopsys Champions Physical AI for Advanced Humanoid Robots

Daily Technology

14/02/2026

Artificial intelligence keeps changing and the new term "physical AI" is now widely discussed. Synopsys has taken a leading position plus is working hard to create machines that sense the world and act on their own. This effort will change industries like high tech, automotive, healthcare but also energy and it will mark a fresh stage for smart equipment.

Key Takeaways

Synopsys now targets "physical AI" so it can build robots as well as other self directed hardware that observe surroundings and respond.
The firm designs "agent engineers" to shorten the time needed to plan or build complicated AI systems.
Physical AI acts as a disruptive driver for Industry 4.0 and seeks to raise autonomy while people intervene only when necessary.

The Rise of Physical AI

Synopsys, a partner of Nvidia for many years, promotes the idea of physical AI. Prith Banerjee, Senior VP of Innovation, states that the company works on systems built from silicon, controlled by software next to guided by AI. Such systems support current breakthroughs like robots and autonomous cars.

Banerjee notes that cars are turning into "software-defined vehicles" because software running on electronic chips supplies the intelligence. Physical AI, similar to digital twins, is set to disrupt Industry 4.0. Its core aim is to lift autonomous systems to a level where they perceive plus deal with the world with little help from people.

Applications and Benefits

Deployed examples cover rule driven, training driven and context driven robots, each tailored for tasks of different difficulty. Those machines already serve in power grid control, surgical support, city driving but also shared factory workspaces.

Early manufacturing users like Amazon besides Foxconn report clear gains. Amazon measured a 25 % rise in delivery speed and overall efficiency. Foxconn cut deployment time by 40 % as well as lowered running costs by 15 % after it introduced fleets of robots.

Beyond Large Language Models

Synopsys is stepping past the large language models that run chatbots. The firm is building deeper foundational AI models that grasp real world physics. That grasp is vital for robots that reason and adapt instead of repeating fixed scripts.

Agent Engineers - The Next Frontier

Driving hardware is becoming more complex or qualified engineers are scarce. To close the gap, Synopsys invests in "agentic AI" It creates "agent engineers" which are AI workers that team up with human engineers. Those agents act as builders and shorten both design time next to production time for the large amount of intelligent hardware demanded across sectors.

Banerjee stresses that the agents support human experts - they do not replace them. Humans and agents will cooperate to accelerate manufacturing plus innovation. Synopsys reinforced this plan - acquiring Ansys, thereby gaining a broad set of physics based simulation tools. The merger is expected to secure Synopsys leadership in electronic design automation and in the IP market but also it will open access to new industries that adopt advanced AI. The company will present its AI-enhanced simulation products at the forthcoming AI India Summit.

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