The field of robotics is witnessing significant advancements in adaptive sensorimotor control and soft robotics. Researchers are developing innovative models and systems that enable robots to adapt to changing environments and interact with their surroundings in a more human-like manner. One notable direction is the integration of adaptive internal models with sensorimotor control systems, allowing robots to learn and improve their performance over time. Another area of focus is the development of soft robotic systems that can safely and effectively interact with delicate or unpredictable environments. These advancements have the potential to revolutionize various fields, including healthcare, manufacturing, and space exploration. Noteworthy papers include: Modeling Adaptive Tracking of Predictable Stimuli in Electric Fish, which presents a novel model for adaptive tracking and sensorimotor control. Miniature soft robot with magnetically reprogrammable surgical functions, which demonstrates a highly versatile and dexterous soft robotic system for surgical applications.