... Machine learning Object recognition CNN The rapid advancements in robotics and artificial intelligence (AI) have paved the way for developing systems that adapt and improve continuously. Continuous learning, an essential attribute of modern AI systems, enables them to dynamically acquire...

...-scale application of machine learning algorithms on dexterous hands. Dexterity hands utilizing this architecture can be easily integrated with robotic arms. © Emerald Publishing Limited 2024 Emerald Publishing Limited Licensed re-use rights only Yuanfei Zhang can be contacted...

...Robert Bogue Purpose This paper aims to illustrate the growing role of machine learning techniques in robotics. Design/methodology/approach Following an introduction which includes a brief historical perspective, this paper provides a short introduction to machine learning techniques...

... with the help of machine learning (ML), a form of artificial intelligence that allows computers to learn and improve on their own without requiring to be explicitly programmed. Design/methodology/approach The proposed CVD prediction models are implemented with the help of ML techniques, namely, decision...

... data is also presented. Some studies related to the application of machine learning and artificial intelligence (AI) are also included in the paper. A discussion on fault diagnosis and cyber physical systems in connection with tribology has also been included. Findings Industry 4.0 and tribology...

... the determination of inverse solutions using machine learning algorithm. Self-collision avoidance of redundant arms is done in Section 4 and Section 5 consists of results and discussions. Conclusion is given in Section 6. Mathematical modelling of redundant arms is a difficult task as far as the redundancy...

... model is an autonomous DS, which outputs the Cartesian space speed of the arm and ensures the end-effector can reach the target position under static conditions without time constraint. Non-linear regression algorithms in machine learning, namely, Gaussian mixture regression (GMR) (Sung, 2004), GPR...

...Mervin Joe Thomas; Mithun M. Sanjeev; A.P. Sudheer; Joy M.L. Purpose This paper aims to use different machine learning (ML) algorithms for the prediction of inverse kinematic solutions in parallel manipulators (PMs) to overcome the computational difficulties and approximations involved...

... communicate between them by using wireless network. The goal of the humanoid robot is to lead the wheeled robots according to the environment and wheeled robots are used to carry a load. The camera allows providing complementary information about the environment; and thanks to machine learning, this control...