A Predefined-Time Convergent and Noise-Tolerant Zeroing Neural Network Model for Time Variant Quadratic Programming With Application to Robot Motion Planning
The paper applies a noise-tolerant zeroing-neural-network model to robot motion planning and tests it on a Flexiv Rizon robotic arm.
Evidence notes
- The study’s named evaluation platform is Rizon Adaptive Robot Series from Flexiv Robotics Ltd..
Company context
Manufacturer of adaptive industrial robotic arms with force control and vision for factory automation.