Mobile Robot Mission Planning for Fully Autonomous Task Execution
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current mobile robots require human intervention to complete missions, limiting their autonomy and practical application in complex and dynamic environments.
Innovation Solution
The development of an autonomous mission system that enables mobile robots to understand and execute complex missions through a universal structure for mission representation, using a location-based map and task library, with modules for mission planning and execution, allowing self-navigation and task activation without human engagement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If mobile robots rely on human commands via controller, then ease of operation is improved, but extent of automation deteriorates
Solution Approach 1:
The mobile robot performs tasks autonomously without human intervention. The robot navigates to destinations, executes tasks, and returns to base automatically based on mission parameters, enabling self-service operation in unattended environments
Solution Approach 2:
The autonomous mission is divided into discrete task segments including navigation to destination, task execution, and return to base. Each segment is independently controlled and can be executed autonomously, allowing the robot to complete complex missions through segmented autonomous operations
2Reliability
If mobile robots require constant human instructions, then reliability is improved, but productivity deteriorates
Solution Approach 1:
Mission parameters including destinations, tasks, and navigation paths are pre-planned and programmed before deployment. The robot executes these pre-defined instructions autonomously without requiring real-time human guidance, improving both reliability through careful planning and productivity through unattended operation
Solution Approach 2:
The robot autonomously navigates to destinations and executes tasks based on pre-programmed instructions without human intervention. This self-service capability allows continuous operation and eliminates downtime associated with human monitoring, thereby improving productivity while maintaining reliability through automated error-free execution
3Productivity
If mobile robots are deployed for autonomous missions, then productivity is improved, but device complexity increases
Solution Approach 1:
The mobile robot is designed with multi-functional capabilities including navigation, task execution, and autonomous decision-making. This universal design allows a single robot platform to perform multiple tasks across different applications, improving productivity without proportionally increasing complexity through standardized autonomous mission architecture
Solution Approach 2:
The robot's autonomous mission execution capability enables unattended operation for extended periods, significantly improving productivity. The self-service navigation and task execution systems are integrated into the robot's core architecture, allowing autonomous operation without adding excessive external complexity
Data Source
AI summary
System and methods for enabling a mobile robot for autonomous missions are described. Despite some mobile robots having the capability of safely traversing complex terrains, mobile robots still behave like a typical machine which can only respond to a human's commands via an interactive controller. For example, a human will drive the mobile robot to desired locations, position it, and activate actions as desired in order to complete a mission. As such, it is desirable to enable a mobile robot with the capability of executing and completing a mission without a human's involvement. The present disclosures includes innovative technology which enables an ordinary user to quickly define a complex mission in the form that a mobile robot can understand and automatically execute it accordingly.