Semi-Autonomous Robot Navigation With Route Priority and Object Profiles
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Solution Overview
Problem
Semi-autonomous mobile robots face challenges in differentiating between humans and non-humans, classifying objects, and prioritizing routes, especially in dynamic environments, leading to difficulties in interacting appropriately with their surroundings.
Innovation Solution
A system comprising a navigation server and object profile database that enables semi-autonomous mobile robots to detect, classify, and interact with objects using object detection, classification, and specification modules, along with navigation and interaction information, including security and privacy settings, to manage routes and interactions effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If semi-autonomous mobile robots use basic navigation systems, then they can move autonomously, but they cannot accurately differentiate between humans and non-humans or classify objects in dynamic environments
Solution Approach 1:
The navigation system is segmented into distinct functional modules: object detection module, object classification module, and object specification module. Each module performs a specific function in the object recognition pipeline, allowing the system to achieve high classification accuracy while maintaining manageable complexity through modular design.
Solution Approach 2:
Object profiles serve as intermediary data structures that bridge object detection and navigation decision-making. These profiles contain classified object information and interaction specifications, enabling the robot to accurately differentiate between humans and non-humans without requiring the entire navigation system to be overly complex.
2Reliability
If semi-autonomous mobile robots implement comprehensive object detection and classification, then they can accurately differentiate objects, but the system requires complex navigation and interaction management
Solution Approach 1:
The system performs preliminary object classification and creates object profiles before navigation and interaction decisions are made. This advance processing organizes object information in a structured format, reducing the complexity of subsequent navigation management while improving interaction reliability through pre-analyzed object specifications.
Solution Approach 2:
The navigation system dynamically adjusts its behavior based on classified object information. When objects are detected and classified, the system adapts its navigation path and interaction strategy in real-time, ensuring reliable interactions while managing complexity through dynamic rather than static control.
3Adaptability or versatility
If semi-autonomous mobile robots operate in dynamic environments with multiple objects, then they encounter unexpected situations frequently, but basic navigation systems cannot prioritize routes effectively
Solution Approach 1:
The navigation system uses feedback from object classification results to dynamically prioritize routes. When objects are detected and classified, the system receives feedback about the environment and adjusts its navigation decisions accordingly, enabling effective route prioritization in dynamic settings without sacrificing adaptability.
Solution Approach 2:
The system changes navigation parameters such as route priority and interaction urgency based on classified object information. By adjusting these parameters dynamically according to object classification results, the robot can adapt to unexpected situations efficiently while minimizing time loss through data-driven decision-making.
Data Source
AI summary
Techniques for navigating semi-autonomous mobile robots are described. A semi-autonomous mobile robot moves within an environment to complete a task. A navigation server communicates with the robot and provides the robot information. The robot includes a navigation map of the environment, interaction information, and a security level. To complete the task, the robot transmits a route reservation request to the navigation server, the route reservation request including a priority for the task, a timeslot, and a route. The navigation server grants the route reservation if the task priority is higher than the task priorities of conflicting route reservation requests from other robots. As the robot moves within the environment, the robot detects an object and attempts to classify the detected object as belonging to an object category. The robot retrieves an interaction profile for the object, and interacts with the object according to the retrieved interaction profile.