Introduction
In recent years, we’ve witnessed a significant surge in the synergistic use of cutting-edge technologies, notably collaborative robots (cobots) and artificial intelligence (AI). This synergy is particularly transformative in addressing one of the main challenges that have hindered the widespread adoption of robotics in small and medium-sized enterprises (SMEs): the complexity of robot training.
The Innovative Concept
The core idea driving this research is the utilization of neural networks to bridge the training gap. This approach is akin to human learning methods – “I show you, then you do it” or “I teach you the basics, and you improve and self-monitor.” The potential applications of AI in this domain are vast and undoubtedly warrant further dedicated exploration.
Exploring the Possibilities
In reality, the ways in which artificial intelligence can be utilized are numerous and varied. This research not only acknowledges these possibilities but also delves into practical applications, demonstrating how AI can be a game-changer in the robotics field, especially for SMEs.
Preliminary Findings
Here, we present some of the initial results achieved in this direction. These findings highlight how AI integration in cobots can simplify the training process, making it more intuitive and less time-consuming. This advancement has the potential to significantly lower the barriers for SMEs to adopt robotic technologies, opening up new avenues for innovation and efficiency.
