• • • AI • • •
Why AI changes motor requirements
AI-driven exoskeletons place new demands on motor performance. Instead of steady output, motors must handle rapid torque changes and continuous micro-adjustments. Load conditions can shift from one movement to the next. Motors must also allow natural movement when assistance is low. High resistance can interfere with balance and increase fatigue. Low-friction, accruable designs help ensure the user remains in control.
Brushless DC motors are widely used due to their reliability and consistent output. Their high torque density allows engineers to meet performance targets without increasing system bulk. In practice, inconsistent torque delivery can affect gait stability, particularly under changing loads.
Closing the gap between
thought and motion Even small delays can disrupt balance and coordination. In highly precision-dependent applications such as surgical robotics, latency below 50 milliseconds is generally perceived as responsive, while delays above 100 milliseconds begin to affect control.
Although this benchmark originates from surgical systems, similar latency thresholds are relevant in other human-interactive robotics. In exoskeletons, such delays can reduce gait stability and make movement feel less natural. To mitigate these effects, most robotic systems rely on closed-loop control using multiple sensors. These typically include accelerometers, force sensors and position encoders, which provide continuous feedback to guide motor response in real time.
Some designs go further by predicting movement patterns. This reduces lag and improves flow between actions.
Managing variable loads and thermal behaviour
Unlike fixed systems, AI-driven exoskeletons operate under highly variable duty cycles. Movement patterns change throughout the day, creating fluctuating loads and unpredictable demand on the motor. Inconsistent torque delivery can affect gait
stability, particularly when transitioning between movements. Reliable motor control is essential to maintain smooth and predictable motion. Thermal behaviour becomes more complex under these conditions. Heat does not build evenly, increasing the risk of local hotspots. Efficient motor design and heat dissipation are critical for maintaining performance during extended use.
A modular future, powered by precision
Exoskeleton development is moving towards more adaptable systems. Future designs will adjust support based on user behaviour over time and this will improve both comfort and performance. Modular design is also becoming more common. Components can be upgraded without replacing the full system as this extends product life and allows new technologies to be adopted more easily.
AI-driven exoskeletons are changing how people work and recover from injury. Their success depends on consistent, controlled movement under real conditions, placing motor performance at the centre of system reliability.
https://www.ems-limited.co.uk
electricalengineeringmagazine.co.uk
ELECTRICAL ENGINEERING • MAY 2026 31
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