Abstract: A tendon transmission system with compound tendon sheath and tendon sheath constraint element is provided. The transmission system uses the tendon, tendon sheath and ligament tissue of human hands for reference to propose a compound tendon sheath structure composed of inner tendon sheath and outer tendon sheath, which can effectively reduce the friction between tendon and tendon sheath and prevent tendon lateral shear force from damaging tendon sheath. Type I tendon sheath constraint element, type II tendon sheath constraint element, type III tendon sheath constraint element, and type IV tendon sheath constraint element are proposed. The tendon transmission system can smoothly constrain the position and motion range of the tendon sheath and prevent it from protruding abnormally, can decouple the movement of each joint across the tendon sheath from each other, and can provide a certain curling buffer space for the tendon sheath, a certain compression and impact resistance protection.

Abstract: A dexterous hand control system based on multi-sensor and antagonistic drive is provided. The system includes a dexterous hand driven by antagonistic tendon transmission, joint angle sensors, bionic skin tactile sensors, joint force and torque sensors, tendon tension sensors, a sensor management module, an actuator control module; and a central control module. The system effectively decouples different levels of force and tactile perception, and can flexibly and comprehensively analyze various sensory information under different operational tasks, simplifying the control difficulty and reducing the design complexity and cost of various types of sensors. The central control module of the system can control the dexterous hand to avoid excessive tendon relaxation or tension, and can well balance compliant operation and anti-interference robustness, and make the system remain reliable when the joint force and torque sensors or tendon tension sensors are partially or completely missing or malfunctioning.

Abstract: A firing neural network computing system and method for brain-like intelligence and cognitive computing. The system includes a model description module, a parameter database, a configuration description module, a configuration manager, a rule manager, a data manager, a network builder, a network manager, an operation manager, a scheduler, a log manager, an operation monitoring module and a graphical display module. The system provides the function of automatically executing synapse and neuron pruning and genesis according to certain conditions and rules, and provides a variety of flexible trigger conditions for starting up pruning and genesis processes as well as rules for executing the processes, which eliminates the burden of neural network developers needing to write synapse and neuron pruning and genesis programs by themselves, thereby effectively solving several problems in existing brain-like firing neural network computing frameworks.

Abstract: A brain-like decision-making and motion control system is disclosed, this system comprises an active decision-making module, an automatic decision-making module, an evaluation module, a memory module, a perceptual module, a compound control module, an input channel module, an output channel module, and a controlled object module. The three working modes supported by the system include an active supervision mode, an automatic mode, and a feedback-driven mode, which enables the robot to make autonomous decisions to select targets and operations and delicately control actions in the process of interacting with the environment, and can make the robot learn new operations by trial and error, imitation, demonstration, with the flexibility to adapt to the complex task and the environment.