Robot Task Execution for Object Search Across Physical Spaces
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Robots are limited to performing preconfigured tasks and struggle to adapt to user-defined tasks in complex environments, failing to efficiently locate and retrieve objects based on user instructions.
Innovation Solution
A method and apparatus that utilize a robot device equipped with image acquisition, machine learning models, and action models to determine a second physical space where an object is located, enabling it to access and retrieve the object even if it is not directly visible, by employing image recognition, language models, and action planning to navigate and interact with the environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If users manually search for and operate across multiple applications to complete tasks, then task completion is possible, but user time and operational complexity increase significantly
Solution Approach 1:
The system automatically executes user tasks by self-managing the process of identifying required applications, switching between them, and performing operations without requiring manual user intervention for each step
Solution Approach 2:
The virtual assistant provides a universal interface that can execute diverse tasks across multiple different applications through a single unified command structure, making the system adaptable to various app ecosystems
2Reliability
If the virtual assistant accesses detailed information from multiple applications, then task execution accuracy improves, but information security risks increase
Solution Approach 1:
The system applies different access levels and permission strategies to different applications and data types, granting minimal necessary permissions for each specific task rather than universal access
Solution Approach 2:
The virtual assistant acts as an intermediary layer between the user and application data, managing information access through controlled interfaces and permission protocols that prevent direct exposure of sensitive data
3Adaptability or versatility
If the system integrates with multiple application ecosystems, then task versatility improves, but system complexity and development costs increase
Solution Approach 1:
The virtual assistant implements a universal task execution framework that can interface with multiple application ecosystems through standardized protocols and common operation patterns
Solution Approach 2:
The system architecture divides the complexity into separate modules for each application ecosystem integration, allowing independent development and maintenance of each connector while sharing common core functionality
Data Source
Figure 1~2
Figure 3~4
Figure 5~6
AI summary
A method, apparatus, device and medium for performing a user task are provided. In a method, a user task is received from a user, and the user task instructs a robot device to obtain a first object. A first image of a first physical space where a robot device is located is obtained. In response to determining that the first image indicates absence of the first object in the first physical space, a second physical space is determined. The robot device accesses a second physical space so as to obtain a first object. By means of the exemplary implementation of the present disclosure, the robot device can perform a user task in a complex physical space, so that the flexibility and accuracy of the robot device in performing a task in a complex environment can be improved, thereby completing an expected user task.