3 accepted papers
The rising demand for customized products necessitates the integration of multiple robotic systems, underscoring the need for advanced production planning and scheduling. This paper introduces an ontology-based, artificial intelligence-enhanced method for dynamic task planning and scheduling, aimed…
Studying the manipulation of deformable linear objects has significant practical applications in industry, including car manufacturing, textile production, and electronics automation. However, deformable linear object manipulation poses a significant challenge in developing planning and control algo…
Planning robot motions in complex environments is a fundamental research challenge and central to the autonomy, efficiency, and ultimately adoption of robots. While often the environment is assumed to be static, real-world settings, such as assembly lines, contain complex shaped, moving obstacles an…