Mathematics in Robot Control for Theoretical and Applied Problems

Research output: Books and anthologiesSpecial Journal issueResearch

Authors

Technological development has not only boosted the use of mechanical systems for industrial uses but above all has made it possible for them to be used in areas and sectors unimaginable until a few years ago. Mechatronics is the neologism which now indicates in general modern robotic systems which are to be equipped with sophisticated electronic control devices. Such devices are capable of helping systems to achieve high performance and allowing their use and disparate aspects of our daily life. It is a synergy set which can radically change some aspects of the production world. A growing interest toward robots, a special class of mechanical systems, as well as fear and perplexity in relation to the impact that these systems have in the world of productivity, and then ultimately their social impact, has be witnessed in recent years. Future robotics represent a tremendous challenge in the field of mathematics because of the central role their control plays in the context of this field. In fact, robot control is one of the most important and challenging topics for mathematicians, engineers, physicians, and practitioners. Mathematical issues are the kernel of the design of control of movements and performance of robots. This Special Issue aims to collect the latest advancements of mathematical methods for solving not only theoretical but also applied problems of classical and also modern robot structures, such as robotic manipulators, walking robots, flexible robots, haptic robots, and any kind of old and new mechanisms with all possible tasks, in grasp, manipulation, and motion for any kind of their possible issues and applications.
Original languageEnglish
PublisherMDPI AG
Publication statusPublished - 07.2024

Publication series

NameMathematics
PublisherMDPI AG
No.14
Volume12
ISSN (electronic)2227-7390

Recently viewed

Publications

  1. Dynamically changing sequencing rules with reinforcement learning in a job shop system with stochastic influences
  2. Challenges in detecting proximal effects of existential threat on lie detection accuracy
  3. Machine Learning and Knowledge Discovery in Databases
  4. Soft Optimal Computing Methods to Identify Surface Roughness in Manufacturing Using a Monotonic Regressor
  5. A sensor fault detection scheme as a functional safety feature for DC-DC converters
  6. Long-term memory predictors of adult language learning at the interface between syntactic form and meaning
  7. Visualization of the Plasma Frequency by means of a Particle Simulation using a Normalized Periodic Model
  8. Evaluating structural and compositional canopy characteristics to predict the light-demand signature of the forest understorey in mixed, semi-natural temperate forests
  9. Simple saturated relay non-linear PD control for uncertain motion systems with friction and actuator constraint
  10. Nonlinear PD fault-tolerant control for dynamic positioning of ships with actuator constraints
  11. On the origin of passive rotation in rotational joints, and how to calculate it
  12. Kalman Filter for Predictive Maintenance and Anomaly Detection
  13. A Switching Cascade Sliding PID-PID Controllers Combined with a Feedforward and an MPC for an Actuator in Camless Internal Combustion Engines
  14. Dynamic Lot Size Optimization with Reinforcement Learning
  15. Comparison of different FEM codes approach for extrusion process analysis
  16. Robust decoupling through algebraic output feedback in manipulation systems