9 results about "Robot hardware" patented technology

A method and a device for planning and controlling a leg robot, as well as a robot and a storage medium, wherein the method comprises: determining a foot-end reference state of each leg based on the motion state and swing parameter of the leg of a leg robot in the next instant; planning a collision-aware swing leg trajectory based on the foot-end dynamics model and the discrete collision model for the leg that will begin to swing in the next instant; performing whole-body control of the leg robot based on the motion state, the reference state sequence, and the foot-end reference state, wherein for the leg that was intended to be a support leg during planning and that did not touch the ground, collision-aware whole-body control is performed based on a whole-body dynamics model and a discrete collision model.This solves the problems of limited passive flexible buffering of collisions in leg robots in related technology, the large computational volume of the control algorithm, the low control accuracy, the high wear of the robot hardware, the short lifespan and the inability to meet the needs of practical applications.

The utility model relates to a kind of low-pressure four-axis robot hardware circuit, comprising: core board, mainboard, drive board, safety relay, switching power supply and AC contactor;The core board is connected with the mainboard, the mainboard is connected with the drive board, and the mainboard is connected with safety relay by relay control line, and the safety relay is connected with the AC contactor by contact control line, and the AC contactor is connected with the drive board by switching power supply;The core board, mainboard and drive board constitute electronic circuit part, optimize the controller multi-core heterogeneous computing architecture, realize software and hardware collaborative processing, provide powerful computing power for controller;With modularization thought design relevant PCB, guarantee the multiplicity of PCB;Using safety relay and AC contactor designs double-loop structure, through hardware redundancy, real-time monitoring and high-level safety certification, complete fault tolerance to single point is realized, while giving consideration to quick response and maintainability.

This application discloses a companion robot interaction method and system, relating to the field of multimodal interaction technology and applied to a cloud service platform. The method includes: acquiring interaction events reported by a user through a companion robot hardware terminal or mobile terminal; converting the interaction events into interaction commands; and sending the interaction commands to the companion robot hardware terminal, so that the companion robot hardware terminal can trigger game plots or develop personality attributes according to the interaction commands, and interact with the user according to the game plots or personality attributes. Through the interwoven personality attribute development and game plot-triggered interaction process, the playability and personalization of human-computer interaction are both enhanced.

This invention relates to the field of heterogeneous robot technology, specifically to a method and system for adaptive dynamic computing power allocation for heterogeneous robots. The method includes: collecting typical task information of heterogeneous robots; classifying tasks into different computing power requirement levels based on task complexity, real-time requirements, and data processing volume; extracting key information to construct a preset task computing power library; receiving robot task instructions, parsing the tasks, setting task real-time weights, collecting robot hardware status parameters in real time, and calculating the appropriate computing power; calculating the matching degree between the appropriate computing power and the computing power currently provided by the hardware; when the matching degree is lower than a preset threshold, performing structured channel pruning and fine-tuning the model through knowledge distillation; when the computing power requirement still cannot be met after pruning, identifying non-core tasks and initiating a cloud-based task allocation process. This technical solution can improve the task execution efficiency and hardware adaptability of heterogeneous robots.

The application discloses a kind of robot simulation scene and trajectory automatic generation method and system, receive natural language operation instruction, and through semantic analysis, visual asset generation, three-dimensional reconstruction and physical credible layout generation three-dimensional simulation scene that can be used for robot operation training;Utilize video generation model to synthesize the continuous image sequence of target operation task, and extract two-dimensional visual motion trajectory in target object area;By depth estimation, three-dimensional motion fusion, grasping posture generation and inverse kinematics mapping, two-dimensional visual motion trajectory is converted into robot end effector trajectory and corresponding robot joint trajectory, the simulation scene and expert trajectory generated are paired, form training data set for robot imitation learning strategy training, and support the strategy obtained by training is deployed to simulation environment or real robot hardware.The application can reduce the cost of robot training data acquisition and artificial trajectory design, improve the degree of automation of simulation scene and operation trajectory generation.

The application relates to the technical field of path planning, in particular to an end-to-end real-time path planning method and system, which comprises the following steps: based on a global depth image, a preset ViT backbone network is used for feature extraction to obtain global features of an environment; target information and the global features are spliced to obtain spliced features, a key point sequence and a collision probability are obtained; and a path is planned according to the key point sequence. The global environment features are extracted through the ViT backbone network, and the spliced features are generated in combination with the target information, so that the planning network can simultaneously perceive the environment structure and the task intention, can adaptively focus on the navigation key area, and can thus exhibit stronger scene understanding capability in an unknown environment; the generated trajectory is more efficient and smoother, the control cost is significantly reduced, the robot shakes less in the movement process, the movement is more coherent and smooth, the navigation efficiency is improved, and the mechanical wear of the robot hardware is reduced.

This utility model discloses a robot domain controller and robot hardware system based on a modular system. The robot domain controller includes a core computing module and a carrier board integrating the following functional circuits: a multi-rate Ethernet interface circuit, a wireless communication module interface, a storage device interface, an audio output interface with integrated power amplifier circuitry, an onboard inertial measurement unit (IMU), and a converged expansion interface. The converged expansion interface is used to connect to external expansion boards to provide robot-specific buses and signals. Adopting the above technical solution can improve integration, interface adaptability, product design level, and reduce costs.

A kind of lactation sow and piglet behavior integrated detection system based on inspection robot, including inspection robot hardware system, sow and piglet behavior detection system;Inspection robot hardware system: utilize track type inspection robot to collect sow and piglet behavior image and video, storage, analysis and transmission are carried out;Sow and piglet behavior detection system: analyze sow static image and piglet dynamic short video, on the core computing unit of inspection robot, through YOLOv8, the posture of sow is detected, through lightweight TSM algorithm, piglet group behavior is detected, and the result is transported to database storage.Compared with traditional manual inspection, the present application based on inspection robot and computer vision avoids the intervention of artificial to lactation sow and piglet, maximally reduces the risk of zoonosis, improves inspection efficiency, reduces the cost of artificial input in farm.At the same time, the platform information management system is convenient to form effective production and breeding experience, with the characteristics of automation and intelligentization.

This invention discloses a dexterous hand integrating visual-tactile sensors and its sensing method, relating to the field of robot hardware design technology. It includes a dexterous hand base, a multi-jointed phalanx assembly mounted on top of the base, and a remote-controlled drive assembly mounted below the base. The remote-controlled drive assembly passes through the base and connects to the multi-jointed phalanx assembly. A fingertip visual-tactile sensing component is mounted at the top of the multi-jointed phalanx assembly. The fingertip visual-tactile sensing component is electrically connected to a host computer monitoring and interaction system, which also integrates a sensing algorithm processing module. This invention, employing the aforementioned dexterous hand integrating visual-tactile sensors and its sensing method, significantly improves the response accuracy of the dexterous hand in grasping and slip detection.