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    Chapter and Conference Paper

    A Learning-Based Decentralized Optimal Control Method for Modular and Reconfigurable Robots with Uncertain Environment

    This paper presents a novel decentralized control approach for modular and reconfigurable robots (MRRs) with uncertain environment contact under a learning-based optimal compensation strategy. Unlike the known...

    Bo Dong, Ke** Liu, Hui Li, Yuanchun Li in Neural Information Processing (2017)

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    Chapter and Conference Paper

    Programming IoT Devices by Demonstration Using Mobile Apps

    The revolutionary advances of Internet of Things (IoT) devices and applications have helped IoT emerge as an increasingly important domain for end-user development (EUD). Past research has shown that end users...

    Toby Jia-Jun Li, Yuanchun Li, Fanglin Chen, Brad A. Myers in End-User Development (2017)

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    Chapter and Conference Paper

    Decentralized Force/Position Fault-Tolerant Control for Constrained Reconfigurable Manipulators with Actuator Faults

    This paper addresses the problems of decentralized force/position fault-tolerant control for constrained reconfigurable manipulators. A novel decentralized force/position control method is proposed for constra...

    Fan Zhou, Bo Dong, Yuanchun Li in Neural Information Processing (2017)