Programming Autonomous Machines

TL;DR

This paper explores the comprehensive programming approaches for autonomous machines, integrating theory and practice across multiple domains to address the complex requirements of real-world autonomous systems.

Contribution

It provides an overview of programming theories and practical methods for developing autonomous machines, bridging high-level concepts with low-level implementation details.

Findings

Highlights the interdisciplinary nature of programming autonomous systems

Discusses the integration of high-level design with low-level code generation

Addresses challenges in meeting functional and performance requirements

Abstract

One key technical challenge in the age of autonomous machines is the programming of autonomous machines, which demands the synergy across multiple domains, including fundamental computer science, computer architecture, and robotics, and requires expertise from both academia and industry. This paper discusses the programming theory and practices tied to producing real-life autonomous machines, and covers aspects from high-level concepts down to low-level code generation in the context of specific functional requirements, performance expectation, and implementation constraints of autonomous machines.