Compensation for the hemispherical resonator gyroscope detection error significantly improves gyroscope performance as well as provides a basis for the implementation of high precision control algorithms. In this paper, an identification method is proposed in which the precession factor and the detection error parameters including gain error, non-orthogonal angle error, and phase error can be identified simultaneously in a single test. Firstly, we analyze the detection error caused by gyroscope manufacturing as well as the inconsistency in circuit device parameters. Secondly, the detection error is modeled, and the impact of the error on the standing wave azimuth detection and the control system is discussed. Thirdly, a method is presented for identifying the error parameters based on the nonlinear least squares. Finally, experiments are conducted to verify the effectiveness of the identification and compensation method. As a result of compensation, the bias instability decreases by 33 times from 5.08°/h to 0.15°/h, and the scale factor nonlinearity decreases by 4 times from 50.26ppm to 10.23ppm.

RGO was spin-coated onto an AuNP-array to prepare the rGO/AuNP negative photoconductivity devices with high photoelectric responsivity.

Small insect‐scale robots have demonstrated considerable promise in fields such as equipment fault diagnosis, environmental monitoring, scientific investigation, and disaster relief. However, realizing beneficial traits such as high‐speed motion, high load capacity, an internal driving source, and environmental suitability in one small robot is still challenging. Inspired by kangaroo hopping, a small robot is designed with a two‐mass soft structure and driven by electromagnetic force. With the synergistic effect of the hopping motion, the soft robot displays two unique properties: 1) the loaded speed is larger than the unloaded one (0–10 times its body weight) and 2) by changing the driving frequency, the moving direction of the robot, i.e., forward or backward, can be controlled. In addition, the robot displays multiple leading properties, including a high‐motion speed (≈21.5 body lengths s⁻¹) and large load capacity (≈32.5 times its body weight), compared to other robots on the same scale. Furthermore, the robot displays exceptional adaptive capabilities under different circumstances: it traverses slopes, rough and soft surfaces, and even maneuvers underwater. The design strategy and dynamic model adopted in this research provide a reference for future designs and lay a solid foundation for the practical application of high‐performing small robots.

Centimeter-scale underwater robots have important applications in underwater resource exploration, environmental monitoring, equipment fault diagnosis, and military applications. However, developing small underwater robots remains a challenge because of the limitation of miniaturized structures. In this study, we developed a small underwater robot (JR) with high-speed, inspired by the jellyfish ephyra, composed of a dish-shaped wing, a flexible joint, a rigid support, a semicircular air chamber, with a magnet and a coil integrated as the driving source. Robot JR combines the advantages of electromagnetic drive, flexible structures, miniaturization of the jellyfish robot is realized and high-speed swimming. The size of robot JR was only Φ 5 ×3 cm, which is the smallest besides the jellyfish robot driven by an external magnetic field. Meanwhile, its maximum movement speed reached 4.6 BL/s, which is also considerably faster than that of other jellyfish robots. The design and control strategies of our research will provide a reference for future design and lay a solid foundation for the practical use of small underwater robots.