Heavy-duty industrial robots are increasingly utilized in machining applications due to their advantages such as large workspace and flexible posture. However

their inherent stiffness characteristics render them highly susceptible to chatter during machining operations

significantly constraining their application and development. Research on chatter prediction based on high-precision dynamic modeling

along with various active and passive chatter suppression techniques

is crucial for achieving chatter-free machining. This paper systematically reviews the research progress in the dynamics of heavy-duty robotic machining systems globally. Firstly

the methods for modeling and predicting the dynamic characteristics of heavy-duty robots are introduced. Subsequently

an in-depth analysis of the dynamics model of the milling process and its solution methods is provided

elucidating the mechanisms of chatter

influencing factors

and variations in dynamic behavior. Furthermore

online chatter monitoring techniques and comprehensive suppression strategies are presented

evaluating the characteristics

applicable scenarios

advantages

and limitations of different approaches. Finally

based on the above analysis

a summary is provided along with key directions for future research. Through a comprehensive review and in-depth discussion of the dynamics research in heavy-duty robotic machining

this work aims to serve as a valuable reference and provide directional guidance for scholars in related fields.