Task-Specific Simulated Robotic Manipulator Design
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Solution Overview
Problem
Conventional robotic manipulators often require operators to choose oversized or suboptimal robotic arms due to the lack of customization options, leading to inefficient task performance as they cannot be tailored to specific tasks, particularly in terms of payload and reach requirements.
Innovation Solution
A method for generating task-specific simulated robotic manipulators using a computing device that selects and customizes components such as actuators and links based on task information and constraints, allowing for optimization of the robotic manipulator for specific tasks by modifying properties like length, mass, and orientation, and generating a simulated representation for evaluation and modification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional fixed-size robotic arms are used, then the robotic arm can perform tasks with high payload capacity, but the robotic arm cannot be optimized for specific tasks with lower payload requirements
Solution Approach 1:
The robotic manipulator is divided into modular components (robotic arm, end effector, base) that can be independently selected and configured. This segmentation allows operators to assemble custom configurations for specific tasks without redesigning the entire system, resolving the contradiction between task-specific optimization and system complexity.
Solution Approach 2:
The system provides a universal platform with multiple interchangeable components that can be configured for different tasks. The same base system can support various robotic arms and end effectors, enabling one system to serve multiple functions while maintaining optimization for each specific task.
2Length of moving object
If operators select oversized robotic arms to meet reach requirements, then the reach requirement is satisfied, but the payload capacity exceeds task requirements leading to inefficiency
Solution Approach 1:
The system allows dynamic configuration where robotic arm parameters (length, payload capacity) can be adjusted and optimized for each specific task. Operators can select the minimum necessary payload capacity and reach for each task, avoiding the static over-provisioning of conventional systems.
Solution Approach 2:
The system enables changing key parameters (reach distance, payload capacity, speed) independently through component selection. This allows operators to precisely match robotic arm parameters to task requirements rather than being constrained by fixed manufacturer specifications.
3Productivity
If conventional fixed-configuration robotic arms are used, then manufacturing and deployment are simplified, but task execution efficiency is reduced due to suboptimal performance
Solution Approach 1:
The system performs preliminary configuration work by providing pre-engineered modular components that can be rapidly assembled. This preliminary preparation of standardized interfaces and components enables easy customization without requiring complex manufacturing processes, thus improving task execution efficiency while maintaining ease of deployment.
Data Source
AI summary
Described herein is a computer-implemented method for generating a task-specific simulated robotic manipulator. A computing device receives, via a robotic design user interface, at least one of task information or constraint information. The computing device selects a set of components for a simulated robotic manipulator from a plurality of components in accordance with at least one of the task information or the constraint information. The computing device generates geometric, kinematic, and/or dynamic information corresponding to the set of components. The geometric, kinematic, and/or dynamic information identifies, for individual components of the set of components, one or more properties. The computing device generates a simulated representation of the simulated robotic manipulator based at least in part on set of components and the geometric, kinematic, and/or dynamic information. The computing device provides, for presentation via a display portion of the robotic design user interface, the simulated representation of the simulated robotic manipulator.