Telepresence takes place when a user is afforded with the experience of being in a remote environment or virtual world, through the use of immersive technologies. A humanoid robot and a control apparatus that correlates the operator's movements whilst providing sufficient sensory feedback, encompass such immersive technologies. This paper considers the control mechanisms that afford telepresence, the requirements for continuous or extended telepresence control, and the health implications of engaging in complex time-constrained tasks. We present Telesuit - a full-body telepresence control system for operating a humanoid telepresence robot. The suit is part of a broader system that considers the constraints of controlling a dexterous bimanual robotic torso, and the need for modular hardware and software that allows for high-fidelity immersiveness. It incorporates a health-monitoring system that collects information such as respiratory effort, galvanic skin response, and heart rate. This information is consequently leveraged by the platform to adjust the telepresence experience and apply control modalities for autonomy. Furthermore, the design of the Telesuit garment considers both functionality and aesthetics.

Telepresence takes place when a user is afforded the experience of being in a remote environment or a virtual world, through the use of immersive technologies. The development of a humanoid robot and a control apparatus that correlates the operator's movements, and provides sufficient sensory feedback, encompass efforts to create such immersive technologies. This paper considers the control mechanisms that afford telepresence, the requirements for continuous or extended telepresence control, and the health implications of engaging in complex time-constrained tasks. We present the Telesuit - a full-body telepresence control system used to operate a humanoid telepresence robot. The suit is part of a larger system that considers the physical constraints of controlling a dexterous bimanual robotic torso, and the need for modular hardware and software that allow for high-fidelity immserviness. It incorporates a health-monitoring system that allows the robotic platform to leverage information such as respiratory effort, galvanic skin response, and heart rate, to adjust the telepresence experience and apply control modalities that automate manipulation tasks. Furthermore, the design of the garment considers both functionality and aesthetics, and sets preface for future implementations of wearable telepresence control systems that integrate into the Internet of Actions (IoA) - allowing operators to interchangeably transition between the physical world and mixed-reality or virtual worlds.

Representation learning is a key issue for text classification tasks. Few existing representation models are able to learn sufficient text information, including local semantic information and global structure information. This paper focuses on how to generate better semantic and structure representations to obtain better sentence representation with them. In detail, we propose a hierarchical local and global attention network to learn sentence representation automatically. We generate semantic and structure representations respectively with local attention. Global attention is used to get the final representation. The final representation obtained is used for training and prediction. Experimental results show that our method achieves ideal results in several text classification tasks, including sentiment analysis, subjectivity classification and question type classification. The specific accuracies are 81.6%(MR), 93.6%(SUBJ), 49.4%(SST-5) and 95.6%(TREC).