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  1. No Access

    Chapter and Conference Paper

    Real-Time Collision Avoidance in a Dynamic Environment for an Industrial Robotic Arm

    This paper proposed learning from demonstration control policy that permits an industrial robotic arm to generalise in an unstructured and dynamic environment. The approach combines a probabilistic model with ...

    Uchenna Emeoha Ogenyi, Qing Gao, Dalin Zhou… in Intelligent Robotics and Applications (2021)

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    Chapter and Conference Paper

    A Two-Stream CNN Framework for American Sign Language Recognition Based on Multimodal Data Fusion

    At present, vision-based hand gesture recognition is very important in human-robot interaction (HRI). This non-contact method enables natural and friendly interaction between people and robots. Aiming at this ...

    Qing Gao, Uchenna Emeoha Ogenyi, **guo Liu… in Advances in Computational Intelligence Sys… (2020)

  3. No Access

    Chapter and Conference Paper

    Adaptive Collision-Free Reaching Skill Learning from Demonstration

    In this paper, we considered the task of the robot learning low-level trajectory task in a novel clustered constraint environment. We propose a novel adaptive trajectory algorithm used to generate the necessar...

    Uchenna Emeoha Ogenyi, Dalin Zhou, Zhaojie Ju… in Robotics and Rehabilitation Intelligence (2020)

  4. No Access

    Chapter and Conference Paper

    An Intuitive Robot Learning from Human Demonstration

    This paper presents a new way to teach a robot certain motions remotely from human demonstrator. The human and robot interface is built using a Kinect sensor which is connected directly to a remote computer th...

    Uchenna Emeoha Ogenyi, Gongyue Zhang… in Intelligent Robotics and Applications (2018)