What are the challenges in adopting Embodied AI?
While embodied AI holds immense potential to revolutionize industries through intelligent, physically capable machines, its adoption is not without significant challenges. These systems, which integrate artificial intelligence with robotic embodiments, must function in dynamic, real-world environments and interact seamlessly with humans. Achieving this level of intelligence and autonomy requires overcoming numerous technical, economic, and ethical hurdles that currently hinder widespread deployment. One of the most pressing challenges in adopting embodied AI is the high cost of development and deployment. Unlike software-based AI systems that operate in digital environments, embodied AI involves complex hardware such as sensors, actuators, mechanical systems, and power sources, in addition to sophisticated algorithms. Developing robots or intelligent physical systems that can perceive, reason, and act autonomously requires significant investment in research, engineering, and materia...