The article is devoted to the study of control algorithms for manipulation robots to perform complex technological operations at enterprises in order to optimize working process time. In today’s business environment, in order to maximize efficiency of production management in highly competitive environment, enterprises need to constantly improve work process automating methods using robots and artificial intelligence. Authors of this article take an in-depth look at the real-world challenges that manipulation robots face in performing complex operations in industrial environment. The work discusses various approaches to control manipulation robots. These approaches include adaptive control method, program control method, sensor control method and collaborative control method. Application of artificial intelligence in the control of manipulation robots allows making decisions based on analyzing of large data amounts, learning from experience and adapting to the environment.