Biohybrid robots have attracted many researchers' attention due to their high flexibility, adaptation ability, and high output efficiency. Under electrical, optical, and neural stimulations, the biohybrid robot can achieve various movements. However, better understanding and more precise control of the biohybrid robot are strongly needed to establish an integrated autonomous robotic system. In this review, we outlined the ongoing techniques aiming for the contraction model and accurate control for the biohybrid robot. Computational modeling tools help to construct the bedrock of the contraction mechanism. Selective control, closed-loop control, and on-board control bring new perspectives to realize accurate control of the biohybrid robot. Additionally, applications of the biohybrid robot are given to indicate the future direction in this field.