The State of Robot Motion Generation
This is a review paper that synthesizes existing knowledge for researchers in robotics, providing a comprehensive overview without introducing new methods.
This paper reviews a wide range of robot motion generation methods from the past 50 years, covering both explicit and implicit models, and discusses current state-of-the-art approaches and integration opportunities.
This paper reviews the large spectrum of methods for generating robot motion proposed over the 50 years of robotics research culminating in recent developments. It crosses the boundaries of methodologies, typically not surveyed together, from those that operate over explicit models to those that learn implicit ones. The paper discusses the current state-of-the-art as well as properties of varying methodologies, highlighting opportunities for integration.