The role of software in controlling robotic systems

Abstract

The aticle develops a method for synthesizing motion programs for robotic systems (RS) with arbitrary structures. The focus is on improving motion control using inverse dynamics, adaptive algorithms, and sensor integration. The study includes the creation of mathematical models for multi-link and biped robots and the implementation of a prototype control system. The study highlights the growing importance of software in controlling complex autonomous robotic systems with applications in various industries such as logistics, healthcare, and agriculture. The results lay the foundation for future advances in robotics driven by artificial intelligence and computing technologies.