Robotic Interaction Control With Object Libraries and Real-Time Adjustment
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Solution Overview
Problem
Conventional robotic systems face stability issues and inefficiencies in coupling devices, requiring complex configurations that need to be entirely replaced for different objects or manipulators, limiting their application in home-consumer spaces and lacking the ability to replicate human-like tasks with high fidelity.
Innovation Solution
A multi-level robotic system with dual-level database support for macro- and micro-manipulation, using a distributed processor and sensor architecture to execute precise interactions based on environment and object data, employing marker systems and minimanipulation libraries for real-time adjustments and replication of human movements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional coupling devices are used to connect objects to robotic systems, then the robotic system can perform basic manipulation tasks, but the system suffers from stability issues and requires complex configurations that must be entirely replaced for different objects
Solution Approach 1:
The coupling device is divided into separate modular components including a coupling member with coupling elements, locking members, and actuators that can independently operate. This segmentation allows the robotic system to maintain stable coupling while simplifying the overall device structure and enabling easy reconfiguration for different objects without replacing the entire coupling device.
Solution Approach 2:
The coupling device incorporates dynamic locking mechanisms with actuators that can engage and disengage locking members on demand. This dynamic capability provides stable coupling during manipulation tasks while allowing quick reconfiguration for different objects, resolving the contradiction between stability and complexity.
2Adaptability or versatility
If conventional robotic systems are deployed in home-consumer spaces, then basic automation tasks can be performed, but the systems lack the adaptability and fidelity to replicate complex human-like tasks
Solution Approach 1:
The robotic system incorporates sensors and control mechanisms that provide real-time feedback during manipulation tasks. This feedback enables the system to detect object properties, adjust manipulation forces, and replicate human-like tasks with high fidelity while maintaining ease of operation through automated control algorithms.
Solution Approach 2:
The system can dynamically adjust manipulation parameters such as force, speed, and positioning accuracy based on the specific task and object being manipulated. This parameter adaptability enables complex human-like tasks to be replicated effectively while the system maintains simple operation through automated parameter optimization.
3Manufacturing precision
If conventional teach-playback mode is used for robot programming, then the robot can execute pre-programmed trajectories accurately, but the system lacks the ability to perform real-time adjustments and mini-manipulations
Solution Approach 1:
The control system is segmented into multiple levels including a high-level planner for trajectory generation and low-level controllers for real-time execution and adjustment. This hierarchical segmentation enables the robot to maintain accurate trajectory execution while incorporating real-time adjustments and mini-manipulations through the lower-level controllers that can respond to sensor feedback.
Solution Approach 2:
The control system transitions from static pre-programmed trajectories to dynamic real-time control with feedback loops. This dynamic control enables the robot to execute accurate trajectories while making real-time adjustments based on sensor data, allowing for mini-manipulations and adaptive task execution.
Data Source
AI summary
Systems and methods are provided for managing a robotic assistant. Environment data corresponding to a current environment is collected to determine a type of the current environment based on the collected environment data. One or more objects in the current environment are detected. The one or more objects are associated with the type of the current environment. For each of the one or more objects, one or more interactions are identified based on a type of the respective object and the type of the current environment. Object libraries corresponding to the one or more objects are downloaded. The object libraries include interaction data corresponding to the respective identified one or more interactions. At least a portion of the one or more interactions are executed upon the respective one or more objects.