Design, Modeling, Simulating, and Prototyping of R2P Robotic Arm with Adaptive Gripper for Automated Hazardous Chemical Sorting Assisted With Computer Vision
I co-designed and developed a SCARA robotic arm with an adaptive gripper and integrated computer vision to identify and sort hazardous chemical containers. The system was programmed to autonomously detect labeled containers and perform pick-and-place operations. I worked extensively on enabling the robotic gripper to handle containers based on CV-driven label detection. • Labeled images of chemical containers for training vision algorithms • Integrated computer vision with robotic control for automated object detection • Designed adaptive gripper to respond to visual label information • Enhanced robotics automation through real-time visual feedback loops