Robot Posture-Based Navigation for Unspecified Region Control
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Solution Overview
Problem
Current robot control methods are inflexible and dependent on navigation maps, limiting their ability to perform tasks outside defined regions, especially when the navigation map is incomplete or missing regions.
Innovation Solution
A robot equipped with a sensor component to acquire user posture data and a controller to determine a target operation region based on user postures, allowing the robot to move and perform tasks in regions not specified on the navigation map by recognizing gestures and spatial coordinates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the robot operates based on a navigation map with defined regions, then the robot control reliability is improved, but the robot control flexibility deteriorates
Solution Approach 1:
The patent introduces an intermediary coordinate recognition system that mediates between the user's gesture and the robot's navigation. The sensor component captures posture data, the controller recognizes spatial coordinates from gestures, and this intermediate coordinate information bridges the gap between the defined navigation map regions and the user's intended target location, allowing the robot to reliably navigate to unspecified regions.
Solution Approach 2:
The patent makes the robot's operation region dynamic by allowing real-time coordinate recognition from user gestures rather than being statically confined to pre-defined navigation map regions. The controller dynamically determines target coordinates based on the user's posture data, enabling the robot to adapt its destination to any location in space, not just predetermined areas.
2Device complexity
If the robot is limited to predefined operation regions on the navigation map, then the device complexity is reduced, but the ease of operation deteriorates
Solution Approach 1:
The patent replaces the mechanical navigation map region selection system with a gesture-based coordinate recognition system. Instead of requiring complex navigation map management and region definition mechanisms, the system uses sensor-based posture detection and coordinate calculation, substituting a rigid structural approach with a more flexible sensing and computation approach.
Solution Approach 2:
The gesture-based control system serves multiple functions: it can specify any target location in space, works regardless of whether the region is on the navigation map, and provides an intuitive user interface. This universal control method eliminates the need for separate region management systems while enhancing operational flexibility.
3Reliability
If the navigation map is complete and accurate, then the robot navigation reliability is improved, but the adaptability to incomplete or missing regions deteriorates
Solution Approach 1:
The patent prepares for navigation to unspecified regions by implementing a coordinate recognition system that can handle any spatial coordinates, not just those on the navigation map. The controller is pre-configured to accept coordinate inputs from gesture recognition and can process target locations regardless of their presence on the navigation map, ensuring readiness for any destination.
Solution Approach 2:
The patent makes the navigation system dynamic by allowing real-time coordinate determination from user gestures rather than being constrained to static navigation map regions. When the user makes a gesture, the controller calculates the target coordinates dynamically and directs the robot accordingly, enabling adaptation to any region including those not on the navigation map.
Data Source
AI summary
The embodiments of the present disclosure provide a robot and a control method therefor. In the robot control method, a robot may acquire posture data of a user in response to a posture interaction wakeup instruction, determine a target operation region according to the posture data of the user, and in case that the target operation region is different from a region that a current position of the robot belongs to, move to the target operation region so as to perform a set operation task. Further, the robot implements operations while moving based on user postures without the limitation of region division, thereby further improving the robot control flexibility.