Inventec had no grants in artificial intelligence as a theme in Q2 2024.

Recent Patents

Application: Transition method of locomotion gait of robot (Patent ID: US20240157548A1)

The patent filed by Inventec Corp. describes a transition method for the locomotion gait of a robot, involving the use of neural network models to control the robot's movements. The method includes a deployment procedure where source and destination policies are randomly selected, a transition operation is simulated, and the results are recorded in a transition database. A transition-net is trained based on this database, and a meta-controller on the robot selects gait policies, executes them, and uses the transition-net to determine when to switch between policies based on success probability exceeding a threshold.

Additionally, the method involves collecting videos of various locomotion gaits, creating neural network models for each gait, training them through reinforcement learning with domain randomization, and storing them in a library. The neural network models consist of input layers representing the robot's state, middle layers as latent states, and output layers for control parameters. The transition-net is a feed-forward neural network with specific neuron configurations and activation functions, and the transition operation simulation utilizes the Issac Gym simulator.

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