Invention Grant
- Patent Title: Model-based control with uncertain motion model
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Application No.: US17654580Application Date: 2022-03-12
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Publication No.: US12078972B2Publication Date: 2024-09-03
- Inventor: Karl Berntorp , Marcel Menner
- Applicant: Mitsubishi Electric Research Laboratories, Inc.
- Applicant Address: US MA Cambridge
- Assignee: Mitsubishi Electric Research Laboratories, Inc.
- Current Assignee: Mitsubishi Electric Research Laboratories, Inc.
- Current Assignee Address: US MA Cambridge
- Agent Gene Vinokur; Hironori Tsukamoto
- Main IPC: G05B13/04
- IPC: G05B13/04 ; G06N7/01

Abstract:
A probabilistic feedback controller for controlling an operation of a robotic system using a probabilistic filter subject to a structural constraint on an operation of the robotic system is configured to execute a probabilistic filter estimates a distribution of a current state of the robotic system given a previous state of the robotic system based on a motion model of the robotic system perturbed by stochastic process noise and a measurement model of the robotic system perturbed by stochastic measurement noise having an uncertainty modeled as a time-varying Gaussian process represented as a weighted combination of time-varying basis functions with weights defined by corresponding Gaussian distributions. The probabilistic filter recursively updates both the distribution of the current state of the robotic system and the Gaussian distributions of the weights of the basis functions selected to satisfy the structural constraint indicated by measurements of the state of a robotic system.
Public/Granted literature
- US20230288886A1 Model-Based Control with Uncertain Motion Model Public/Granted day:2023-09-14
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