International Journal of Mechatronics and Manufacturing Technology

Authors: Subodh Jain , Sakshi Agrawal , Sailender Bhatia

Abstract: Force-controlled robotic manipulation has become a vital research area in industrial automation, healthcare, and service robotics. Traditional positioncontrolled robots often struggle with tasks that require delicate interaction with objects or uncertain environments. The integration of Artificial Intelligence (AI) in force control enables adaptive, precise, and intelligent manipulation by allowing robots to perceive, learn, and respond to environmental changes. This review paper explores the state-of-the-art in force-controlled robotic manipulation using AI, including model-based and data-driven approaches, sensor technologies, control strategies, and applications. Challenges in realtime implementation and future research directions are also discussed. The study aims to provide a comprehensive understanding for researchers and engineers working in intelligent robotics.

Keywords: Force Control, Robotic Manipulation, Artificial Intelligence, Adaptive Control, Sensor Fusion, Machine Learning.