Robotic Arm Self-Play Algorithm Development
Budget: $250 – $750 USD
We're looking for a skilled freelancer to develop a comprehensive project focused on a robotic arm self-play algorithm. The task involves creating a detailed paper and delivering a working simulation. The robotic arm will be provided an image of an environment with objects in specific positions. The environment will then be randomized, and the robot must self-learn how to manipulate those objects back to their original positions as per the image. The project will focus on using a two-agent self-learning algorithm to perform object manipulation. The simulation is designed for a JetArm robotic arm running on Jetson Nano. This project is primarily for research and development purposes.
Deliverables include:
(1) A well-structured paper detailing how the algorithm functions and the results from running the simulation.
(2) A fully working robotic simulation compatible with JetArm.
This project seeks to push the boundaries of robotic capabilities and enhance our understanding of autonomous learning within a controlled environment. Your innovative input will be crucial in making this project a success. Materials will be provided upon contact.
Deliverables include:
(1) A well-structured paper detailing how the algorithm functions and the results from running the simulation.
(2) A fully working robotic simulation compatible with JetArm.
This project seeks to push the boundaries of robotic capabilities and enhance our understanding of autonomous learning within a controlled environment. Your innovative input will be crucial in making this project a success. Materials will be provided upon contact.