Dynamic motions are a key feature of robotic arms, enabling them to perform tasks quickly and efficiently. Soft continuum manipulators do not currently consider dynamic parameters when operating in task space. This shortcoming makes existing soft robots slow limits their ability deal with external forces, especially during object manipulation. We address this issue by using operational space co...

End effector tracking control of robot manipulators subject to dynamical uncertainties is the main objective this article. Direct task space that aims minimizing end error directly preferred. In open loop system, vector depends on uncertain terms modeled via a fuzzy logic network and self-adjusting adaptive component designed as part nonlinear proportional derivative based input torque. The sta...

Robust control approaches have been extensively developed to control robot manipulators in joint-space. Even though they can present perfect tracking performances in joint-space, they cannot provide satisfactory performances in workspace under imperfect transformation of control space. In addition, many task-space approaches have assumed the perfect transformation, which is not real with presen...

− As a novel learning method, reinforced learning by which a robot acquires control rules through trial and error has gotten a lot of attention. However, it is quite difficult for robots to acquire control rules by reinforcement learning in real space because many learning trials are needed to achieve the control rules; the robot itself may lose control, or there may be safety problems with the...