Stable Vision-Based Robot Kinematic Control with Deep Learning-Based Oriented Object Detector

Key Points

• Robot kinematics are optimized with a deep learning-based oriented object detector, improving stability.
• The deep learning model achieves an accuracy of over 90% in object detection tasks across diverse environments.
• Analysis includes real-time performance assessments during robotic movements using computer vision techniques.
• Enhanced kinematic control in robots may enable wider applications in autonomous settings, enhancing efficiency.