Disassembly, Recycling, and Remanufacturing for End-of-Use Products

We aim to increase the capacity of robotics technology in the labor-intensive disassembly process in the re-manufacturing, via creating a collaborative environment between human and robots with guaranteed safety and optimized operational cost and efficiency.

Learning among heterogeneous robots

We aim to build a novel learning-based feedforward control framework and equip robots with new capabilities for learning particular skills, such as trajectory generation and uncertainty compensation, that are crucial for robots to perform complex tasks.