Sensor Apparatus for Robot Motion Mimicry via Data Collection
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Solution Overview
Problem
Current autonomous robots lack the ability to perform complex tasks similar to living subjects due to limited generalized intelligence, requiring extensive reprogramming and human intervention, and there is a need for efficient data collection methods to enhance their learning capabilities.
Innovation Solution
A sensor apparatus is used to collect data on living subjects' motions, posture, vocalizations, and environmental interactions, which is then processed by a machine-learning algorithm to control an autonomous robot, enabling it to perform similar tasks and adapt to environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If robots are programmed to perform tasks using traditional methods, then they can execute specific tasks, but they lack generalized intelligence and require extensive reprogramming for new tasks
Solution Approach 1:
The patent captures human behavior data using sensor apparatus and copies it to train AI programs. The sensor apparatus records motions, movements, posture changes, and environmental interactions of human subjects, which are then used to train robots to perform similar tasks without requiring manual reprogramming for each new task.
Solution Approach 2:
The patent implements a feedback loop where robot actions are captured by sensor apparatus, the data is processed through AI programs, and the results are used to refine and improve robot performance. This iterative feedback process enables the robot to learn and adapt to new tasks automatically.
2Extent of automation
If AI techniques are implemented to reduce human intervention, then automation increases, but data collection methods remain inefficient
Solution Approach 1:
The sensor apparatus is designed with multi-functionality to capture various types of data simultaneously including motions, movements, posture changes, vocalizations, and environmental interactions. This universal data collection capability increases productivity by gathering comprehensive training data through a single integrated system rather than multiple separate collection methods.
3Reliability
If comprehensive data is collected from living subjects, then robot performance improves, but the complexity of the sensor apparatus increases
Solution Approach 1:
The patent merges multiple sensor types and data collection functions into a single integrated sensor apparatus. By combining motion sensors, position sensors, vocalization sensors, and environmental sensors into one unified system, the patent reduces overall system complexity while maintaining comprehensive data collection capabilities that improve robot performance.
Data Source
AI summary
Using various embodiments, methods, systems, and apparatuses are disclosed for data collection from a subject using a sensor apparatus. In one embodiment, an apparatus for use by a subject, the sensor apparatus is disclosed, comprising a sensor configured to capture and transmit data related to movements by the subject and a computing device coupled to the sensor to receive sensor data transmitted by the sensor, save the data in a track in a data file. The data file can have a plurality of tracks, each track saving data of a different sensor. The data thus saved can then be processed by another computing device.