AI-Arm is an innovative robotic arm designed to facilitate human-robot collaboration using advanced computer vision and voice recognition technologies.
In the rapidly evolving world of today, the need for intelligent and adaptable robotic solutions is greater than ever. AI-Arm addresses this need by integrating object recognition and physical manipulation capabilities, making it a versatile tool for various industries and everyday tasks.
Despite advancements in robotics, many tasks still require human intervention, limiting efficiency and automation. Routine tasks are time-consuming, and existing robotic systems often lack user-friendly interfaces and accessibility, making them impractical for widespread use.
- Enhance Automation and Efficiency: Minimize the need for human intervention in routine tasks, improving overall productivity.
- Increase Accessibility: Make robotic systems more accessible and easier to control through voice commands and intuitive interfaces.
- Expand Applicability: Develop a versatile robotic platform that can be seamlessly integrated into various industries, including manufacturing, healthcare, and personal assistance.
- Improve Human-Robot Collaboration: Design AI-Arm to work alongside humans, especially aiding those with disabilities or in industrial settings.
- Object Detection: YOLOv8
- ArUco Marker Detection: Custom machine learning algorithms
- Voice Recognition: Deep neural networks (CNNs)
- 6-axis robotic arm with precise motor control
- Advanced kinematics:
- Forward Kinematics
- Inverse Kinematics
- Denavit-Hartenberg (DH) parameters
- Python
- PyTorch
- TensorFlow
- Object Detection: Utilizes the YOLOv8 model for robust and accurate object recognition.
- Voice Recognition: Employs deep convolutional neural networks, to process and execute voice commands.
- ArUco Marker Detection: Implements machine learning algorithms to detect ArUco markers for orientation and position determination.
AI-Arm's manipulation system is based on precise kinematic calculations:
- Forward Kinematics: Uses Denavit-Hartenberg parameters to compute the gripper's position and orientation.
- Inverse Kinematics: Solves for the necessary motor angles to achieve a target position.
AI-Arm enhances production processes by performing tasks such as picking and placing objects, and assisting humans on assembly lines.
In medical settings, AI-Arm can sort and deliver medical supplies, and assist in surgical procedures by handling instruments.
AI-Arm can aid in mechanical tasks, such as handing over tools to auto mechanics based on voice commands.
AI-Arm helps individuals with disabilities by performing everyday tasks, thereby improving their quality of life.
