PATENT CLAIM ANALYSIS

Application Number: 15917219
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-07
Patent Classification: ["700", "254000"]

Abstract:
A mechanism-parametric-calibration method for a robotic arm system is provided, including: controlling the robotic arm to perform a plurality of actions so that one end of the robotic arm moves toward corresponding predictive positioning-points; determining a predictive relative-displacement between each two of the predictive positioning-points; after each of the actions is performed, sensing three-dimensional positioning information of the end of the robotic arm; determining, according to the three-dimensional positioning information, a measured relative-displacement moved by the end of the robotic-arm when each two of the actions are performed; deriving an equation corresponding to the robotic arm from the predictive relative-displacements and the measured relative-displacements; and utilizing a feasible algorithm to find the solution of the equation. When an ambient temperature changes or a stress variation on the robotic arm exceeds a predetermined range, re-obtaining the set of mechanism parametric deviations corresponds to a current robot configuration.

Claim (Index 16):
The mechanism-parametric-calibration method as claimed in  claim 6 , further comprising:\n controlling, according to ny mechanism parameter sets corresponding to ny second-direction predictive positioning-points, the robotic arm performing ny actions so the end of the robotic arm moves toward the ny second-direction predictive positioning-points which are in front of a third precision plane of the calibration block, wherein the third precision plane is perpendicular to the second direction; controlling, according to nz mechanism parameter sets corresponding to nz third-direction predictive positioning-points, the robotic arm performing nz actions so the end of the robotic arm moves toward the nz third-direction predictive positioning-points which are in front of a fifth precision plane of the calibration block, wherein the fifth precision plane is perpendicular to a third direction; sensing, using the measuring instrument, a second-direction measured displacement between the third precision plane and the end of the robotic arm when the robotic arm performs each of the ny actions; determining, according to the ny second-direction measured displacements, a second-direction measured relative-displacement moved by the end of the robotic arm when the robotic arm performs each two of the ny actions; sensing, using the measuring instrument, a third-direction measured displacement between the fifth precision plane and the end of the robotic arm when the robotic arm performs each of the nz actions; determining, according to the nz third-direction measured displacement, a third-direction measured relative-displacement moved by the end of the robotic arm when the robotic arm performs each two of the nz actions; determining a second-direction predictive relative-displacement equation of each two of the ny second-direction predictive positioning-points and determining a third-direction predictive relative-displacement equation of each two of the nz third-direction predictive positioning-points; and deriving the optimization equation corresponding to the robotic arm from the first-direction predictive relative-displacement equations, the first-direction measured relative-displacements, the second-direction predictive relative-displacement equations, the second-direction measured relative-displacements, the third-direction predictive relative-displacement equations and the third-direction measured relative-displacements.

Metadata:
- Claim Count in Document: 19.0
- Percentile: 90.0
- Lexical Diversity: 1.9875
- Patent Class: 700.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15213736', '11491255', '15516522', '14314970', '11195724']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3241605175378806
- 35 USC 102 Novelty (BERT): 0.6463336485207078
- Combined Prediction Score: 0.3563778306361633
- Mean Citation Score: 255.40995200000003
- Max Citation Score: 677.1442
- Similarity Product: 569.2636062469483

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test