Pick and place and obstacle avoidance for Robotic Arm using reinforcement learning

The camera is mounted 90 degrees above which captures the rectangular workspace. the robot will pick the ball based on opencv, use reinforcement learning algorithms to avoid and obstacle and place it in a box. The motors used are servo motors 180 degrees each part. I'm looking for a professional with expertise in reinforcement learning and computer vision to help develop algorithms for a robotic arm. This arm will be operating in a controlled indoor environment, specifically designed for picking and placing small parts or components. The primary goal of the project is to ensure the robotic arm can achieve precise placement of these items. Key Areas of Focus: - Development of reinforcement learning algorithms to improve the precision of the robotic arm - Utilization of OpenCV for vision and path planning - Testing and refining the algorithms within a controlled indoor environment Ideal Skills: - Proficiency in reinforcement learning and its application in robotics - Experience with OpenCV and path planning algorithms - Ability to work within a controlled environment and adapt to testing results - Proficiency in Python programming for implementing and testing algorithms This project will require a deep understanding of both theoretical and practical aspects of reinforcement learning and robotics, with a strong focus on achieving precise item placement. The expected timeframe for this project is 1-3 months.