PATENT CLAIM ANALYSIS

Application Number: 15967240
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["700", "257000"]

Abstract:
Apparatus and methods for training and controlling of, for instance, robotic devices. In one implementation, a robot may be trained by a user using supervised learning. The user may be unable to control all degrees of freedom of the robot simultaneously. The user may interface to the robot via a control apparatus configured to select and operate a subset of the robot's complement of actuators. The robot may comprise an adaptive controller comprising a neuron network. The adaptive controller may be configured to generate actuator control commands based on the user input and output of the learning process. Training of the adaptive controller may comprise partial set training. The user may train the adaptive controller to operate first actuator subset. Subsequent to learning to operate the first subset, the adaptive controller may be trained to operate another subset of degrees of freedom based on user input via the control apparatus.

Claim (Index 31):
A robotic apparatus comprising:\n a platform characterized by at least first and second degrees of freedom; and an adaptive controller apparatus configured to generate first and a second control signals adapted to operate the first and the second degrees of freedom, respectively; wherein:\n the first and the second control signals are configured to cause the platform to perform a target action; \n each operation of a given one of the first or the second degrees of freedom is configured based at least on a training input associated with the given one of the first or the second degree of freedom; \n a first training input is associated with a first degree of freedom operation; \n the first control signal is determined based at least on an adjustment of a learning parameter of a learning process based on the first training input; \n the second control signal is determined based at least on an adjustment of the learning parameter based on another training input, the another training input associated with a second degree of freedom operation; \n the adaptive controller apparatus comprises a neuron network comprising a plurality of layers of nodes and a plurality of connections between the plurality of layers of nodes, the neuron network being configured to, via the learning process, adapt an efficacy of a first subset of the plurality of connections that is associated with the first degree of freedom operation based on the first training input, and adapt an efficacy of a second subset of the plurality of connections that is associated with the second degree of freedom operation based on the second training input.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 91.0
- Lexical Diversity: 2.48485
- Patent Class: 700.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14070269', '14070114', '13918620', '14613237', '13918338']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4811933369659431
- 35 USC 102 Novelty (BERT): 0.5549723601845596
- Combined Prediction Score: 0.4885712392878047
- Mean Citation Score: 367.526456
- Max Citation Score: 453.5272
- Similarity Product: 384.670211713934

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