Smart Lab Assistant Robot Design & Build
Budget: $250 – $750 AUD
I'm looking for a skilled engineer in Melbourne who can design and build an intelligent laboratory assistant robot for me.
Core Functions:
- The robot must be able to navigate through a lab with obstacles using line following methods.
- It needs to identify laboratory equipment using ArUco markers and a camera.
- Interacting with students is a key aspect, done through a screen using a Natural Language Processing (NLP) model.
- The robot should respond to student inquiries about equipment location, usage, and functions.
- It should be able to visually display answers and instructions, with an optional voice output.
- All of this must be controlled by Python, integrating all components into one cohesive system.
Experience & Skills Required:
- Proficiency in robotics design and construction
- Extensive knowledge in Python programming
- Experience with NLP models
- Skills in using and integrating line following methods and IR sensors
- Familiarity with using ArUco markers and camera systems
- Ability to work on creating a system capable of navigating surfaces with obstacles.
Your primary focus will be on ensuring the robot has efficient navigation through the lab, hence experience in obstacle navigation is crucial.
Core Functions:
- The robot must be able to navigate through a lab with obstacles using line following methods.
- It needs to identify laboratory equipment using ArUco markers and a camera.
- Interacting with students is a key aspect, done through a screen using a Natural Language Processing (NLP) model.
- The robot should respond to student inquiries about equipment location, usage, and functions.
- It should be able to visually display answers and instructions, with an optional voice output.
- All of this must be controlled by Python, integrating all components into one cohesive system.
Experience & Skills Required:
- Proficiency in robotics design and construction
- Extensive knowledge in Python programming
- Experience with NLP models
- Skills in using and integrating line following methods and IR sensors
- Familiarity with using ArUco markers and camera systems
- Ability to work on creating a system capable of navigating surfaces with obstacles.
Your primary focus will be on ensuring the robot has efficient navigation through the lab, hence experience in obstacle navigation is crucial.