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Urban sanitation has traditionally been reactive. A drain gets blocked, a canal accumulates waste, water flow slows, and cleaning teams are sent in to clear the problem.

For most of the last decade, India's story in robotics has been one of adoption — importing machines from Japan, Germany, and South Korea to automate factory floors. In 2026, a second story has started running alongside it: India as a builder and, increasingly, an exporter of physical AI — the class of AI systems that don't just generate text, but perceive and act in the real world through a robot's body. The shift shows up in three places at once: venture capital moving into the sector, government policy explicitly designed to pull manufacturing and R&D onshore, and a first wave of Indian companies building physical AI robots with export markets in mind. Here's what's actually happening on each front.

At the India AI Impact Summit 2026 in New Delhi, EY India demonstrated “Scout,” a companion robot combining digital twins, robotics, and physical AI to help refinery workers track hazardous pipeline alerts that overwhelm small monitoring teams. It's a compelling demo. But in India, this isn't a preview of the future — it's already a deployed industry, with a body count that makes the case for it.

These environments are becoming the next frontier for robotics. As India accelerates urbanisation and expands critical infrastructure, public-service robotics is emerging not as a futuristic concept but as a practical necessity—one capable of improving safety, resilience, and the quality of essential public services.

For decades, industrial automation was defined by one objective: reduce manual effort through mechanization. While that approach improved productivity, it also exposed a limitation that is becoming increasingly evident across modern industries. Machines could perform repetitive tasks, but they lacked awareness, adaptability, and the ability to make informed decisions based on changing conditions. That limitation is disappearing. The convergence of artificial intelligence (AI), the Internet of Things (IoT), and robotics is reshaping industrial automation into a connected, intelligent ecosystem where machines not only execute tasks but also collect data, analyze conditions, and respond in real time. From manufacturing plants and oil refineries to urban infrastructure and utility networks, this technological convergence is setting new standards for efficiency, safety, and operational resilience.

Every bridge, drainage network, sewer line, water pipeline, power corridor, and underground utility shares one characteristic: they are expected to work flawlessly despite remaining largely invisible. Public attention arrives only when something fails—a flooded street after heavy rainfall, a damaged pipeline disrupting essential services, or an ageing asset requiring emergency repairs. By then, the operational and economic costs have already begun to accumulate. This growing gap between infrastructure expansion and infrastructure management is forcing cities and industries to rethink conventional approaches. Increasingly, Public Infrastructure Solutions are being built around intelligent engineering, where robotics and artificial intelligence work together to improve visibility, safety, and long-term asset performance rather than simply responding to failures.