Custom Visual SLAM & ROS Control Package Development
Budget: $30 – $250 USD
Custom Visual SLAM & ROS Control Package Development
I am seeking a developer to create a custom Visual SLAM system for robotics using Python. The ideal candidate should have experience in Visual SLAM and be proficient in Python programming.
Requirements:
- Develop a Visual SLAM system for robotics using Python
- Implement advanced visual odometry and mapping algorithms
- Ensure real-time performance and accuracy of the SLAM system
- Integrate with existing robotic hardware and software systems
Skills and Experience:
- Strong background in Visual SLAM and computer vision
- Proficiency in Python programming
- Knowledge of robotics and robot operating systems (ROS)
- Experience with camera calibration and image processing
- Familiarity with mapping and localization algorithms
Application:
The Visual SLAM system will be used in robotics applications, providing real-time mapping and localization capabilities. The system should be able to navigate and explore unknown environments, while accurately tracking the robot's position and mapping the surroundings.
If you have experience in Visual SLAM, Python programming, and robotics, and you are interested in developing a custom Visual SLAM system for robotics applications, please apply for this project.
Hardware & Sensor Fusions:
i. 4/8 megapixel USB camera/cameras (w/o depth camera)
ii. IMU sensor (Phidget Spatial)
iii. RTK/GNSS sensor
iv, Wheel odometry (optional)
v. Raspberry Pi 4 8GB + Cloud-based GPU processing support
The goal of this custom VSLAM is to Map & navigate within a visual boundary (rotational, specific pattern and waypoint goals),
The control package will set waypoint goals within the visual created visual Maps. It will detect any ground or distant visual objects and avoid them during movement/navigation, welcome with voice response to any known human by face detection using Open CV YOLO v3/5, detect any unknown human and generate voice alters. The control package will also control/operate a third motor ON/Off based on visual object detections.
I am seeking a developer to create a custom Visual SLAM system for robotics using Python. The ideal candidate should have experience in Visual SLAM and be proficient in Python programming.
Requirements:
- Develop a Visual SLAM system for robotics using Python
- Implement advanced visual odometry and mapping algorithms
- Ensure real-time performance and accuracy of the SLAM system
- Integrate with existing robotic hardware and software systems
Skills and Experience:
- Strong background in Visual SLAM and computer vision
- Proficiency in Python programming
- Knowledge of robotics and robot operating systems (ROS)
- Experience with camera calibration and image processing
- Familiarity with mapping and localization algorithms
Application:
The Visual SLAM system will be used in robotics applications, providing real-time mapping and localization capabilities. The system should be able to navigate and explore unknown environments, while accurately tracking the robot's position and mapping the surroundings.
If you have experience in Visual SLAM, Python programming, and robotics, and you are interested in developing a custom Visual SLAM system for robotics applications, please apply for this project.
Hardware & Sensor Fusions:
i. 4/8 megapixel USB camera/cameras (w/o depth camera)
ii. IMU sensor (Phidget Spatial)
iii. RTK/GNSS sensor
iv, Wheel odometry (optional)
v. Raspberry Pi 4 8GB + Cloud-based GPU processing support
The goal of this custom VSLAM is to Map & navigate within a visual boundary (rotational, specific pattern and waypoint goals),
The control package will set waypoint goals within the visual created visual Maps. It will detect any ground or distant visual objects and avoid them during movement/navigation, welcome with voice response to any known human by face detection using Open CV YOLO v3/5, detect any unknown human and generate voice alters. The control package will also control/operate a third motor ON/Off based on visual object detections.