This review provides a comprehensive overview of recent advancements in developing actuators and robots endowed with physical intelligence using liquid crystalline polymers (LCPs). LCPs, known for their reversible stimuli-responsive shape-morphing properties, have gained significant attention in the field of soft robotics. The review is structured around the stimulus conditions and categorizes studies involving responsive LCPs based on the fundamental control and stimulation logic and approach, focusing on three main categories: systems that respond to changing stimuli, those operating under constant stimuli, and those equipped with learning and logic control capabilities. The introduction highlights the concept of physical intelligence, which is the innate responsiveness of objects to external stimuli, and how LCPs exhibit this property through their intrinsic properties rather than relying on external circuits and algorithms. The review then delves into the actuation mechanisms of LCPs, including monotonic response to manually changing stimuli, continuous oscillation under engineered stimuli, and self-sustained actuation under static stimuli. Examples of LCP actuators and robots that respond to various stimuli such as heat, light, humidity, and electric fields are provided. The section on static stimuli discusses the oscillating response of LCPs under constant conditions, including cantilever oscillators and self-shadowing effects. The review also explores the development of LCP-based robots that can harness energy from environmental stimuli, such as heat, and their ability to navigate complex environments autonomously. The interactive collective behavior of LCP-based robots is discussed, highlighting the potential for developing swarms of LCP actuators and robots. The review also examines the integration of LCPs as sensors into robotic systems, enabling autonomous path-planning and adaptation to environmental changes. Finally, the review touches on the emerging field of LCP-based systems capable of learning and logic control, which is still in its early stages. The conclusion emphasizes the need for further research to enhance the power density, explore new types of stimuli, and improve microfabrication methods to realize the full potential of LCP-based actuators and robots in practical applications.This review provides a comprehensive overview of recent advancements in developing actuators and robots endowed with physical intelligence using liquid crystalline polymers (LCPs). LCPs, known for their reversible stimuli-responsive shape-morphing properties, have gained significant attention in the field of soft robotics. The review is structured around the stimulus conditions and categorizes studies involving responsive LCPs based on the fundamental control and stimulation logic and approach, focusing on three main categories: systems that respond to changing stimuli, those operating under constant stimuli, and those equipped with learning and logic control capabilities. The introduction highlights the concept of physical intelligence, which is the innate responsiveness of objects to external stimuli, and how LCPs exhibit this property through their intrinsic properties rather than relying on external circuits and algorithms. The review then delves into the actuation mechanisms of LCPs, including monotonic response to manually changing stimuli, continuous oscillation under engineered stimuli, and self-sustained actuation under static stimuli. Examples of LCP actuators and robots that respond to various stimuli such as heat, light, humidity, and electric fields are provided. The section on static stimuli discusses the oscillating response of LCPs under constant conditions, including cantilever oscillators and self-shadowing effects. The review also explores the development of LCP-based robots that can harness energy from environmental stimuli, such as heat, and their ability to navigate complex environments autonomously. The interactive collective behavior of LCP-based robots is discussed, highlighting the potential for developing swarms of LCP actuators and robots. The review also examines the integration of LCPs as sensors into robotic systems, enabling autonomous path-planning and adaptation to environmental changes. Finally, the review touches on the emerging field of LCP-based systems capable of learning and logic control, which is still in its early stages. The conclusion emphasizes the need for further research to enhance the power density, explore new types of stimuli, and improve microfabrication methods to realize the full potential of LCP-based actuators and robots in practical applications.