Invention Application
- Patent Title: SYNTHESIZING MACHINE LEARNING-BASED CONTROLLERS FOR UNDERACTUATED ROBOTIC MANIPULATORS
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Application No.: US18325537Application Date: 2023-05-30
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Publication No.: US20240399568A1Publication Date: 2024-12-05
- Inventor: Yingnan Cui , Yaofeng Zhong , Georgia Olympia Brikis , Amit Chakraborty , Biswadip Dey
- Applicant: Siemens Aktiengesellschaft
- Applicant Address: DE Munich
- Assignee: Siemens Aktiengesellschaft
- Current Assignee: Siemens Aktiengesellschaft
- Current Assignee Address: DE Munich
- Main IPC: B25J9/16
- IPC: B25J9/16

Abstract:
A computer-implemented system and method for synthesizing a controller for an under actuated robotic manipulator includes a machine learning based model having a plurality of neural network modules. Each module is configured to approximate a function related to an underactuated controller for a robotic manipulator. Parameters of each function are learned during training of the model using a loss function that satisfies one or more conditions including structure preservation, integrability and equilibrium assignment.
Information query
IPC分类: