Method for constructing a map while performing work
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Solution Overview
Problem
Autonomous robots face challenges in efficiently mapping and navigating complex environments due to limitations in sensor data processing and path planning, leading to incomplete or inaccurate workspace mapping and inefficient task execution.
Innovation Solution
A method involving a robot equipped with multiple sensors that captures positional and movement data to recognize workspace areas, generate movement paths, and create maps, while also allowing user input for dividing the workspace into subareas and scheduling tasks, with the ability to recharge and resume cleaning tasks automatically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If autonomous robots use sensor data processing and path planning methods to map and navigate workspaces, then navigation capability is improved, but mapping accuracy and completeness deteriorate due to processing limitations
Solution Approach 1:
The patent segments the workspace into multiple zones or regions that are mapped and navigated separately. This allows the robot to process sensor data more effectively by focusing on smaller areas at a time, improving both navigation speed within each zone and mapping accuracy through dedicated processing for each segment.
Solution Approach 2:
The patent implements preliminary mapping and path planning actions before the robot begins navigation. By pre-processing sensor data to create initial maps and plan paths in advance, the robot reduces real-time processing demands during navigation, thereby maintaining both high navigation speed and accurate mapping without real-time processing bottlenecks.
2Reliability
If the robot performs comprehensive workspace mapping and task execution, then task completion quality is improved, but time consumption increases
Solution Approach 1:
The patent performs preliminary task planning and path generation before execution. By pre-processing navigation paths and task sequences, the robot minimizes real-time decision-making time while ensuring comprehensive task coverage and high completion quality through carefully pre-planned sequences.
Solution Approach 2:
The patent implements continuous navigation and task execution without unnecessary pauses or re-planning. The robot maintains continuous movement along pre-planned paths while performing tasks, eliminating idle time and ensuring that every moment is productively utilized for task completion.
3Productivity
If the robot autonomously navigates and performs tasks without manual input, then operational efficiency is improved, but adaptability to user preferences deteriorates
Solution Approach 1:
The patent implements feedback mechanisms where the robot receives user inputs about preferences, constraints, and task priorities. This feedback is integrated into the autonomous navigation and task planning system, allowing the robot to adapt its behavior to user preferences while maintaining high operational efficiency through automated execution of customized task sequences.
Solution Approach 2:
The patent creates a dynamic system where the robot's navigation and task execution parameters can be adjusted based on user feedback and changing conditions. The system dynamically adapts paths, task priorities, and operation modes while maintaining autonomous operation, balancing efficiency with user-specific requirements.
Data Source
AI summary
Provided is a tangible, non-transitory, machine readable medium storing instructions that when executed by a processor of a robot effectuates operations including: capturing, with at least one sensor, first data used in indicating a position of the robot; capturing, with at least one sensor, second data indicative of movement of the robot; recognizing, with the processor of the robot, a first area of the workspace based on at least one of: a first part of the first data and a first part of the second data; generating, with the processor of the robot, a first movement path covering at least part of the first recognized area; actuating, with the processor of the robot, the robot to move along the first movement path; and generating, with the processor of the robot, a map of the workspace based on at least one of: the first data and the second data.