Abstract: A robot waist skeleton includes: a swing waist effector; a first bracket, one end of which is connected to an output end of the swing waist effector; a bend waist effector, a case of which is connected to the other end of the first bracket; a second bracket, one end of which is connected to the case of the swing waist effector; a rotate waist effector, an output end of which is connected to the other end of the second bracket; and a third bracket, one end of which is connected to a case of the swing waist effector.

Abstract: A positioning and navigation method for a robot includes: receiving point cloud information of a current position and information of a target position sent by a robot, wherein the point cloud information of the current position is updated in real time; determining the current position of the robot according to the point cloud information; planning a plurality of motion paths according to the current position and the target position; searching for an optimal path among the plurality of motion paths by a predetermined heuristic search algorithm; and sending the current position of the robot and the optimal path to the robot, such that the robot moves according to the optimal path.

Abstract: A robot wrist structure includes: a case, a first motor, a second motor, a first transmission mechanism, a second transmission mechanism, a first driving bevel gear, a second driving bevel gear, a driven bevel gear, a retaining fame, and an output connecting member; wherein the first motor and the second motor are mounted on the case, the first driving bevel gear, the second driving bevel gear and the driven bevel gear are respectively rotatably mounted in the retaining frame, the first driving bevel gear and the second driving bevel gear are both in mesh with the driven bevel gear, the first motor is connected to the first driving bevel gear by the first transmission mechanism, the second motor is connected to the second driving bevel gear by the second transmission mechanism, and the output connecting member is fixedly connected to the driven bevel gear.

Abstract: A caster module includes: an omni wheel, provided with an shaft groove; and an effector, received in the shaft groove, a case of the effector being rotatable relative to an inner wall of the shaft groove, and an output end of the effector being connected to the omni wheel and configured to drive the omni wheel to rotate.

Abstract: A robot manipulator includes: an arm body; a wrist effector, connected to the arm body; a multi-degree-of-freedom (DOF) connecting device, rotatably connected to the wrist effector; and a grabber, connected to the multi-DOF connecting device, wherein the multi-DOF connecting device is configured to receive a power output by the wrist effector and drive the grabber to rotate.

Abstract: A method for improving robustness of a visual-inertial navigation system includes: determining a reference frame; correcting the reference frame; and performing non-linear optimization for frames other than the reference frame and an oldest frame according to the oldest frame and the corrected reference frame.

Abstract: A target identification method includes: using information of a to-be-detected target acquired within a predetermined time period as judgment information; acquiring an identification result of the to-be-detected target at a current time and outputting the identification result; judging whether the attribute type corresponding to the identification result is an attribute type having the highest priority; and if the attribute type corresponding to the identification result is not the attribute type having the highest priority, using information of the to-be-detected target acquired within a next predetermined time period as the judgment information, and returning to the step of acquiring an identification result of the to-be-detected target at a current time and outputting the identification result.

Abstract: An obstacle avoidance reminding method includes: performing ground detection based on acquired image data to acquire ground information of a road; performing passability detection based on the acquired ground information, and determining a traffic state of the road; if it is determined that the road is impassable, performing road condition detection for the road to acquire a first detection result, and performing obstacle detection for the road to acquire a second detection result; and determining obstacle avoidance reminding information based on the first detection result and the second detection result.

Abstract: A resource allocation method, a computer program product and a communication device are disclosed. The method includes: determining, based on a configuration parameter of a first sub-frame, whether preferential transmission of the first sub-frame needs to be ensured, wherein the first sub-frame refers to a sub-frame in a first wireless communication system; defining a transmission direction of a second sub-frame which exerts cross-interference to the first sub-frame to be the same as that of the first sub-frame if preferential transmission of the first sub-frame needs to be ensured, wherein the second sub-frame refers to a sub-frame in a second wireless communication system; and defining OFDM symbols in the first sub-frame which exert cross-interference to the second sub-frame to be transmission prohibited if preferential transmission of the first sub-frame does not need to be ensured.