The type of experience that VP would deliver could allow physical aspects to be simulated in a way that breakout sessions, gathering around a whiteboard, taking notes with a digital pen on a virtual pad of paper come to life via sensors and the actions or motions of the participants. Immersive training rooms would allow the users to feel side by side and ‘present’ beyond the traditional powerpoint and webinar atmosphere currently used to bring a class together for learning.The idea is more like being one of multiple avatars that are a persona of the person present in the Virtual Space. This is not just a Telepresence representation in 2D, but rather the ability to ‘feel’ and ‘respond’ with more than just audio & video like in traditional video mediums. Office-like experiences could enable teams to interact with each other as if they were actually there in one space.Some potential use cases we’ve identified include, but are not limited to the following: The following possibilities are solutions based on existing technologies highlighted in our Companies and Contracts section. We are currently exploring some of these within GSA and expect to provide additional information as it becomes available. However, innovation in this area across Industry, Academia and Federal entities have been used to provide services that GSA would potentially benefit from.

Possible Applications at GSAĪt the time of publishing, we have not identified any current efforts toward providing an immersive Virtual Presence (VP) at GSA. and leaps in processing capacity form the cornerstone of the Virtual Age, VP technologies form the front line in that they are the tools everyday users will engage with. It utilizes technologies such as Augmented Reality (AR) and Virtual Reality (VR) to deliver this experience. P53 upregulation is a frequent response to deficiency of cell-essential genes.Virtual Presence (VP) is an immersive environment that enables users to feel as if they are physically present at an actual location with other users. Lane-by-lane sequencing using Illumina’s Genome Analyzer II. SIGGRAPH Asia Workshop on Virtual Reality Meets Physical Reality, 2016. Zhu.Ī Virtual Reality Platform for Dynamic Human-Scene Interaction. Zhu.Ĭonfigurable, Photorealistic Image Rendering and Ground Truth Synthesis by Sampling Stochastic Visuomotor Adaptation and Sensory Recalibration in Reversed Hand Movement Task (* Joint first authors).Ĭ. Configurable 3D Scene Synthesis and 2D Image Rendering with Per-Pixel Ground Truth Using Stochastic Grammars. Efficient Transfer Planning for Flat Knitting. An Artin Braid Group Representation of Knitting Machine State with Applications to Validation and Optimization of Fabrication. I also made that year's website, which was voted website of year by at least one person that was not me. Notably, I was program chair for SIGBOVIK 2019, a very serious, extra prestigious conference for research of a less than serious nature. My current work looks at formalizing machine knitted object equivalence in order to aid with program rewriting. However, I believe that using the correct problem description can result in both computationally tractable and representational methods. Obviously, the real world is a highly complicated place where both the task and the notion of optimal can be ill defined. My research interests lie with better computational tools for optimizing physical fabrication tasks. Before coming to CMU, I received my bachelors in Computer Science and Molecular Biology (Course 6-7) from the Massachusetts Institute of Technology. I am a sixth year PhD student in Carnegie Mellon University's Computer Science Department, advised by James McCann.

Carnegie mellon virtual definition