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null (Ed.)Network latency is a major problem in Cloud Robotics for human robot interactions such as teleoperation. Routing delays can be highly variable in a heterogeneous computing environment, imposing challenges to reliably teleoperate a robot with a closed-loop feedback controller. By sharing Gaussian Mixture Models (GMMs), Hidden Semi- Markov Models (HSMMs), and linear quadratic tracking (LQT) con- trollers between the cloud and the robot. We build a motion recognition, segmentation, and synthesis framework for Cloud Robotic teleoperation; and we introduce a set of latency mitigation network protocols under this framework. We use this framework in experiments with a dynamic robot arm to perform learned hand-written letter motions.We then study the motion recognition errors, motion synthesis errors, and the latency mitigation performance.more » « less
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Tian, Nan; Tawani, Ajay Kummar; Goldberg, Ken; Sojoudi, Somayeh (, International Symposium on Robotics Research)
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Tian, Nan; Chen, Jinfa; Ma, Mas; Zhang, Robert; Huang, Bill; Goldberg, Ken; Sojoudi, Somayeh (, International Conference on Robotics and Automation)
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Hu, Cheng-Chao; Zhang, Zhao; Yang, Tian-Nan; Shi, Yang-Guang; Cheng, Xiao-Xing; Ni, Jun-Jie; Hao, Ji-Gong; Rao, Wei-Feng; Chen, Long-Qing (, Applied Physics Letters)
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