Prem Manoharan

• Developed and implemented machine learning algorithms for robotic perception tasks, including object recognition, instance segmentation, and pose estimation.
• Applied deep learning techniques, such as convocational neural networks (CNNs) to improve the accuracy and robustness of computer vision models in object detection and semantic segmentation for real-time robotic applications .
• Collaborated with cross-functional teams of data scientists, software engineers, and robotics experts to integrate AI solutions into robotic systems, ensuring seamless interaction and communication between perception and control modules.
• Implemented inverse kinematics algorithms for robot arm manipulation, enabling precise and accurate motion planning and control in various robotics applications.
• Contributed to the development and improvement of robotic frameworks and libraries, leveraging tools like TensorFlow, PyTorch, and ROS to streamline the implementation and deployment of AI algorithms on robotic platforms.

• Automated food packaging process using AI and computer vision
• Programmed robotic arm for item detection (Python, OpenCV, ROS

· Contributed to the development of Singapore national Athletes through scientific analysis, using 2D and 3D motion analysis via Dartfish, Vicon 3D motion, MATLAB

· Collaborated with SportsSG Biomechanics Team to seamlessly automate 3D imaging capture process with Arduino

· Developed automated anyalysis feedback system of relay timings for the Singapore National Swimming Team