AI-Guided Robotic Arm Layout for Compact Lab Automation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Laboratory work demands precision and speed, but existing systems require significant manual labor and floor space, leading to inefficiencies and high costs.
Innovation Solution
An AI-driven robotic system with a stand-alone robotic arm that navigates unoccupied lab space using visual assistance to perform bio-lab tasks at multiple workstations, reducing manual labor and optimizing floor space usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a stand-alone robotic arm is used to perform bio-lab tasks at multiple workstations, then productivity is improved, but device complexity increases
Solution Approach 1:
The system is divided into independent functional modules: a stand-alone robotic arm, separate workstations for different bio-lab tasks, and an AI-driven visual assistance system. This modular segmentation allows the robotic arm to move freely between workstations without being mechanically coupled to any single station, enabling rapid repositioning and high productivity while keeping each module relatively simple and maintainable.
Solution Approach 2:
The stand-alone robotic arm is designed as a universal platform that can perform multiple bio-lab tasks at different workstations. Rather than having dedicated robotic systems for each task, this single robotic arm can be programmed and visually guided to perform various operations including pipetting, mixing, and sample handling across multiple workstations, thereby improving productivity without proportionally increasing device complexity.
2Manufacturing precision
If visual assistance is implemented to guide the robotic arm, then manufacturing precision is improved, but device complexity increases
Solution Approach 1:
An AI-driven visual assistance system acts as an intermediary between the operator and the robotic arm. This visual system captures images of the lab environment, automatically identifies workstations and functional objects, and generates guidance paths for the robotic arm. By introducing this visual intermediary layer, the system achieves high positioning accuracy without requiring complex mechanical precision or complicated control algorithms, as the visual system handles the complex perception and planning tasks.
Solution Approach 2:
The patent replaces traditional mechanical positioning systems with a vision-based guidance system. Instead of relying on complex mechanical encoders, precision rails, or force feedback mechanisms to achieve accurate positioning, the system uses computer vision to detect workstation locations and functional objects, then translates this visual information into robotic arm movement commands. This substitution of mechanical complexity with optical/intelligent processing maintains high precision while simplifying the mechanical design.
3Area of stationary object
If multiple workstations are arranged in a compact lab space, then area of stationary object is reduced, but ease of operation deteriorates
Solution Approach 1:
The system transitions from static, fixed robotic systems to a dynamic stand-alone robotic arm that can move freely throughout the lab space. The robotic arm dynamically repositions itself between workstations based on task requirements, allowing compact arrangement of multiple workstations without compromising accessibility. The visual assistance system dynamically generates optimal paths that adapt to the compact layout, ensuring the robotic arm can reach all workstations efficiently despite the reduced floor space.
Data Source
AI summary
The present disclosure relates to a system that comprises a lab space housing multiple workstations comprising at least two workstations each performing a different type of bio lab task from another. The lab space can have a lab floor space comprising an occupied lab floor space on which the multiple workstations are occupied, and an unoccupied lab floor space on which a stand-alone robotic arm moves through.