... manipulation is somewhat unique. Continual learning PCB recycling robot Machine learning Object recognition CNN Recent works (Khosla et al. (2020) introduced supervised contrastive learning, which improves feature discrimination by leveraging label information, an approach that can...

...-scale application of machine learning algorithms on dexterous hands. Dexterity hands utilizing this architecture can be easily integrated with robotic arms. This paper focuses on designing a novel distributed control architecture for integrated machine learning to improve the data processing...

...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...

... joint in the upper body as shown in Figure 1 , where i = 1,2,3,…,15. Modelling and workspace analysis along with singularity analysis of redundant arms are explained in Section 2. Section 3 includes the determination of inverse solutions using machine learning algorithm. Self-collision...

... 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 (Rasmussen and Williams, 2006), support vector regression (SVR)-POLY...

...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...