Researchers have developed an AI control system that enables soft robotic arms to learn a wide repertoire of motions and tasks once, then adjust to new scenarios on the fly without needing retraining or sacrificing functionality. This breakthrough brings soft robotics closer to human-like adaptability for real-world applications, such as in assistive robotics, rehabilitation robots, and wearable or medical soft robots, by making them more intelligent, versatile, and safe. The research team includes Singapore-MIT Alliance for Research and Technology's (SMART) Mens, Manus & Machina (M3S) interdisciplinary research group, and National University of Singapore (NUS), alongside collaborators from Massachusetts Institute of Technology (MIT) and Nanyang Technological University (NTU Singapore).

With a successful AutoModel™ deployment at Korea's largest ecommerce company, OSARO is well-positioned to scale similar solutions across other global e-commerce leaders. This real-world implementation showcases how AI-driven automation can revolutionize fulfillment centers.

As robotics adoption accelerates globally, procurement and engineering teams are being forced to rethink how they manage lead times, component lifecycles, and sourcing risk within increasingly volatile semiconductor markets.