Pet Monitoring Robot Grid Mapping for Obstacle-Aware Tracking
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Solution Overview
Problem
Existing pet robot monitoring technologies face challenges in accurately determining the pet's position due to obstacles between the robot and the pet, leading to suboptimal monitoring effects.
Innovation Solution
A method using a grid map and wireless communication between a robot and a pet to determine their mutual position, assess obstacle presence, and adjust the robot's camera direction and position to ensure effective monitoring, involving steps to identify the best monitoring cell by analyzing grid cells and their distances from the robot.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the robot uses existing positioning technology to determine the pet's position, then the robot can track the pet, but the monitoring position cannot be determined well when there is an obstacle between the robot and the pet
Solution Approach 1:
The robot divides the monitoring area into multiple grid cells and evaluates each cell independently for obstacle presence and monitoring quality. By segmenting the space into discrete grid units, the robot can systematically assess different positions and select the optimal monitoring cell, resolving the contradiction between position determination accuracy and monitoring reliability when obstacles are present.
Solution Approach 2:
The robot performs preliminary obstacle detection and grid cell evaluation before finalizing the monitoring position. By pre-assessing each grid cell for obstacle presence and monitoring quality in advance, the robot can proactively select the best monitoring position before obstacles interfere with the monitoring process, thereby improving both position determination accuracy and monitoring reliability.
2Reliability
If the robot moves to find a better monitoring position, then the monitoring effect improves, but the time and energy consumption increases
Solution Approach 1:
The robot performs partial obstacle detection only in the vicinity of the current position and for nearby grid cells, rather than conducting a complete environmental scan. By limiting the evaluation to a subset of grid cells and using heuristic methods to prioritize nearby cells, the robot achieves sufficient monitoring improvement without the full time and energy cost of exhaustive search, resolving the contradiction between monitoring effect and time consumption.
3Ease of operation
If the robot uses a camera to monitor the pet, then the robot can observe the pet's state, but obstacles between the robot and pet interfere with the monitoring
Solution Approach 1:
The robot uses obstacle detection feedback to dynamically adjust the monitoring position selection. By continuously monitoring for obstacles in each grid cell and using this feedback to eliminate unsuitable cells from consideration, the robot can adaptively select monitoring positions that are free from obstacle interference, resolving the contradiction between monitoring capability and obstacle interference.
Solution Approach 2:
The grid cell evaluation system acts as an intermediary between the robot's camera and the pet. By introducing the grid-based spatial assessment mechanism, the robot can indirectly determine suitable monitoring positions that avoid obstacles, serving as a mediator that resolves the direct line-of-sight blockage problem without requiring the camera to physically move or penetrate obstacles.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach improves the efficiency and effectiveness of pet monitoring by allowing the robot to find the best position and angle to observe the pet while minimizing interference from obstacles, ensuring reliable tracking and state monitoring.
Implementation Method 1
a mutual position relationship between the pet and the robot is determined based on wireless communication between a wireless signal device on the robot and a wireless signal device on the pet
Data Source
AI summary
The disclosure relates to a method for monitoring a pet by a robot based on a grid map and a chip. A mutual position relationship between the pet and the robot is determined through wireless communication between a wireless signal device on the pet and the robot, and then whether there is an obstacle cell or not between grid cells where the robot and the pet are located in the grid map is judged. If NO, it is indicated that the pet may be effectively shot at a present position and shooting direction of the robot, and the present position and shooting direction of the robot are not required to be changed. If YES, it is indicated that no pet but an obstacle may be shot at the present position of the robot.