Frontier Research Overview
How can we let the different robots work together and understand our needs in a practical way such that users can transfer human skills or teach them to perform multiple complex industrial tasks?

To address this issue, we focus on developing adaptive industrial robot control with learning and adaptation, allowing different industrial robots (like manipulators, mobile robots, and drones) to perform complex action sequences of industrial tasks as well as to intelligently collaborate to complete difficult tasks for industrial factories that cannot be achieved by an individual robot (like object transportation/logistics).
Research Highlights
2020
Advanced Collaborative Robots for the Factory of the Future

We develop an integrated robotic platform for advanced collaborative robots and demonstrates an application of multiple robots collaboratively transporting an object to different positions in a factory environment. The proposed platform integrates a drone, a mobile manipulator robot, and a dual-arm robot to work autonomously, while also collaborating with a human worker. We develop an integrated robotic platform for advanced collaborative robots and demonstrates an application of multiple robots collaboratively transporting an object to different positions in a factory environment. The proposed platform integrates a drone, a mobile manipulator robot, and a dual-arm robot to work autonomously, while also collaborating with a human worker. The platform also demonstrates the potential of a novel manufacturing process, which incorporates adaptive and collaborative intelligence to improve the efficiency of mass customization for the factory of the future.
For more details, see Rothomphiwat, et al., IEEE/SICE International Symposium on System Integration (SII), 2021.
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