According to @StanfordAILab, recent research highlighted in @XiaomengXu11's blog post demonstrates that data-driven AI methods can significantly expand robot learning beyond standard platforms to include robots of diverse shapes and sizes (source: Stanford AI Lab, June 30, 2025). By leveraging large datasets and advanced machine learning algorithms, unconventional robots—such as soft robots or modular systems—can achieve complex tasks that were previously unattainable with traditional hardware-focused design and control. This evolution opens up new business opportunities in custom robotics development, flexible automation, and adaptive manufacturing, addressing a wider array of industry needs (source: Stanford AI Lab, June 30, 2025).