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control. For example, new motor control technologies, such as high-precision multi- axis controllers, allow robots to handle complex tasks while maintaining a high degree of repeatability. In industrial settings, these improvements are particularly evident in multi-axis machines like computer numerical control (CNC) systems, in which precise control of each motor axis leads to superior productivity and quality in parts manufacturing. Meanwhile, the integration of AI and ML has also been a boon to the field. By using data-driven models to monitor and optimize robotic movement, AI and ML systems can detect anomalies or deviations in real time, unlocking features like predictive maintenance and minimizing unexpected downtime. Power management is another fundamental aspect of robotics, particularly for applications in which robots must operate continuously over long periods or with limited power availability. Efficient power management ensures that robots perform optimally without generating excessive heat, which can wear down components and reduce the robot's lifespan. In mobile robots, for example, power efficiency is directly linked to operational uptime and cost-effectiveness, as longer battery life means fewer interruptions for recharging or replacing batteries. The challenges in power management stem from the need to distribute power to different components of a robotic system, each with varying power demands. As robots become more compact and feature-rich, they require multiple power rails and voltage levels to support various components, from high- power motors to low-power microcontrollers. Managing these power requirements in a confined space while avoiding overheating necessitates efficient DC-DC converters and novel cooling solutions. Wireless power transfer for robots is also a promising solution. This technology allows for the continuous transfer of energy without the need for physical connectors, which can wear down over time. C h a p t e r 1 | M o t i o n C o n t r o l a n d Po w e r M a n a g e m e n t i n R o b o t i c s AI is transforming industrial workflows by optimizing processes and improving predictive maintenance, which boosts efficiency and minimizes downtime." Sushrut G Chief Technology Officer, Terwaskiey Robotics 8 9 Experts Discuss Robotics, AI, and ML in Industrial Applications