Computer Vision Module Development for Robotics
vor 4 Wochen
Overview
Computer vision is a pivotal element in modern autonomous robotic systems, allowing robots to perceive and interact with their surroundings effectively.
Project Focus
The primary objective of this internship is to develop a vision pipeline tailored for an assistive robotics platform aimed at empowering individuals with disabilities in their daily activities.
Key Components of the Vision Module
- Scene segmentation
- Object pose recognition and estimation
- Calibration of multi-camera setups
During this internship, you will have access to cutting-edge laboratory facilities equipped with various robotic systems, data acquisition technologies (such as EEG, EMG, and motion capture), and mechanical/electrical workshops.
Candidate Profile
A genuine enthusiasm for research is essential. Additionally, there will be opportunities to contribute to high-impact conference papers.
Requirements
- Solid foundation in Computer Vision, particularly in scene segmentation and pose estimation
- Familiarity with established vision frameworks
- Proficient in Python programming
- Understanding of coordinate frames and 3D transformations
Preferred Qualifications
- Knowledge of state-of-the-art methods in scene segmentation and pose estimation
- Experience with ROS2
- Proficiency in C++
- Experience with robotic manipulators, whether in simulation or real-world applications
- Background in real-time systems programming
- Familiarity with Deep Learning techniques
Position Type
This project is designated as a paid research assistant position.
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