Robot Authorization via Physical Manipulation and Parameter Adaptation
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Solution Overview
Problem
Existing robot control and modification techniques often fail to authorize users based on physical interaction, and they do not adapt physical control parameters to user preferences effectively, limiting the robot's functionality and user experience.
Innovation Solution
The method involves authorizing robot functionalities through physical manipulation by a user, using specific authorization positions, orientations, velocities, and accelerations, and adapting physical control parameters based on user preferences, which are identified through sensor data and user interface inputs, allowing for secure and personalized robot operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If robot functionalities are restricted to control and modification by authorized users via separate computing devices or fingerprint sensors, then security and authorization control are improved, but the ability to authorize users based on physical interaction with the robot is lost
Solution Approach 1:
The patent introduces an intermediary authorization system that bridges the gap between secure access control and physical interaction. The robot controller acts as a mediator that receives sensor data from physical interaction sensors, compares it against stored authorization parameters, and selectively activates functionalities based on the match. This intermediary layer maintains security while enabling physical interaction-based authorization.
Solution Approach 2:
The robot performs self-authorization verification by comparing sensor data from physical interactions against its own stored authorization parameters. The system uses its internal processors and stored parameters to autonomously determine whether a user is authorized, eliminating the need for external computing devices or separate authentication systems for this specific function.
2Ease of operation
If robots enable physical manipulation during training mode, then ease of operation and training capability are improved, but the ability to adapt physical control parameters based on user preferences is lost
Solution Approach 1:
The patent implements dynamic adaptation of physical control parameters during physical manipulation. The robot controller continuously monitors sensor data from physical interactions and adjusts control parameters in real-time based on the detected user preferences and authorization level. This dynamic adjustment allows the robot to adapt its mechanical response, impedance, and movement characteristics during training mode operations.
Solution Approach 2:
The system incorporates feedback loops where sensor data from physical manipulation is continuously fed back to the robot controller. The controller compares this feedback against stored authorization parameters and user preferences, then adjusts physical control parameters accordingly. This feedback mechanism enables the robot to learn and adapt to individual user preferences during training mode.
3Measurement precision
If authorization parameters include specific positions, orientations, velocities, and accelerations for physical manipulation, then measurement precision and authorization accuracy are improved, but device complexity increases
Solution Approach 1:
The patent utilizes parameter changes by storing multiple sets of authorization parameters corresponding to different functionalities and user levels. The robot controller dynamically selects and applies appropriate parameter sets based on the detected physical interaction and authorization match. This approach enables precise control over positions, orientations, velocities, and accelerations without requiring a completely separate complex system for each parameter type.
Data Source
AI summary
Some aspects are related to methods and apparatus that enable authorization of one or more functionalities of a robot based on a user physically manipulating the robot. For example, an authorization for a robot may include one or more authorization parameters associated with physical manipulation of the robot and sensor data generated in response to physical manipulation of the robot by a user may be utilized to determine if the physical manipulation conforms to the authorization parameters. If conformance is determined, one or more functionalities of the robot may be activated. Some implementations additionally and/or alternatively relate to methods and apparatus for adapting one or more physical control parameters for a robot based on preferences of a user of the robot, such as a user that is currently authorized for the robot.