GOLDLY AI × NUS: Exploring New Trends in Robotics Mechanics and AI-Enabled Industry

Recently, GOLDLY AI engaged in discussions with Prof. Pin Zhang, Assistant Professor in the Department of Civil and Environmental Engineering at NUS. His research spans intelligent computational mechanics, explainable scientific AI, uncertainty quantification and complex systems, and granular mechanics, with a focus on real-world engineering applications of AI. The dialogue centered on robot mechanics in complex environments, as well as the application and development trends of AI within traditional industries.

Starting from Complex Environments: The Mechanics Challenge

As robots transition from laboratory settings to real-world industrial applications, the environments they encounter have become increasingly complex. Operating in unstructured settings and on complex terrain — where robots must perceive their surroundings, understand ground conditions, and maintain stable movement — places higher demands on mechanical modeling, environmental perception, and intelligent decision-making.

The discussion focused on the forces acting on robots, their motion stability, and their environmental adaptability under complex terrain conditions, exploring what the integration of mechanics research and AI technology could bring to autonomous movement and operations in complex scenarios.

How AI Truly Empowers Traditional Industries

Beyond robotics, both sides exchanged views on AI adoption in traditional industries. With the rapid development of large models and AI agents, AI is moving beyond simple information processing into real business processes — from knowledge management and data analysis to production, operations, customer service, and business collaboration.

GOLDLY AI shared its practice across AI Infrastructure, AI Gateway, and AI Agent, aiming to help traditional enterprises — starting from their specific business scenarios — find an AI adoption path that fits, through the combination of AI infrastructure, model capabilities, and intelligent applications.

Connecting Research Innovation with Industry Practice

This exchange brought robotics, mechanics, AI, and traditional industry applications closer together. Moving forward, GOLDLY AI will continue to follow developments in robotics and embodied intelligence, while exploring more deployment scenarios for AI in traditional industries — bringing frontier technologies into real business operations and production processes.

From robots in complex environments to AI applications in traditional enterprises, technological innovation ultimately returns to real-world scenarios. GOLDLY AI looks forward to engaging with more universities, research institutions, and industry partners to jointly explore the integrated development of AI and the real economy.