… In this work we present such a system using an adaptive neural network-based controller
that employs exploratory learning to enable a hardware robot to autonomously search for, …

… Different human intent estimators (HIEs) were proposed, including a neural network based
… 1.2 Challenges imposed by Co-robots Compared to non-collaborative robots, co-robots are …

… is that a simplified motor mode, mapping the visual space to robot's motor position space, is
… trajectory are collected as training samples, in which, the motor mobile value has only two …

… robots by doing the exploratory learning and motor planning concept using adaptive … co-robots
are ability to withstand in the dynamic environment while doing any motor planning system…

… Next, an adaptive neural network-based system for assistive … an internal model for motor
planning and coordination based … Co-robots, collaborative robots that work alongside humans to …

… a neural network-based approach is promising in improving the performance of the VA control
system in a … different types of neural networks as well as deep learning-based techniques. …

… unified system in which the vehicle autonomously navigates along the structured trees rows
whereas the humans on the vehicle … In addition, Space exploration and UAVs are also some …

Models of adaptation and neural plasticity are often demonstrated in robotic scenarios with
heavily pre-processed and regulated information streams to provide learning algorithms with …

In recent years, many successful robotic manipulator designs have been introduced.
However, there remains the challenge of designing a manipulator that possesses the inherent …

… Unlike current mobile robots that autonomously operate without considering humans, these
flying collocated and cooperative robots (co-robots) are intended to interact and cooperate …