Convergence Design Lab, Purdue University
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Object Synthesis by Learning Part Geometry with Surface and Volumetric Representations

Object Synthesis by Learning Part Geometry with Surface and Volumetric Representations

Aug 28, 2020

Abstract: We propose a conditional generative model, named Part Geometry Network (PG-Net), which synthesizes realistic objects and can be used as a robust feature descriptor for object reconstruction and classification. Surface and volumetric...

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First-Person View Hand Segmentation of Multi-Modal Hand Activity Video Dataset

First-Person View Hand Segmentation of Multi-Modal Hand Activity Video Dataset

Aug 7, 2020

Abstract:  First-person-view videos of hands interacting with tools are widely used in the computer vision industry. However, creating a dataset with pixel-wise segmentation of hands is challenging since most videos are captured with fingertips...

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A Large-scale Annotated Mechanical Components Benchmark for Classification and Retrieval Tasks with Deep Neural Networks

A Large-scale Annotated Mechanical Components Benchmark for Classification and Retrieval Tasks with Deep Neural Networks

Jul 3, 2020

We introduce a large-scale annotated mechanical components benchmark for classification and retrieval tasks named Mechanical Components Benchmark (MCB): a large-scale dataset of 3D objects of mechanical components. The dataset enables data-driven...

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CAPturAR: An Augmented Reality Tool for Authoring Human-Involved Context-Aware Applications

CAPturAR: An Augmented Reality Tool for Authoring Human-Involved Context-Aware Applications

Jul 3, 2020

Recognition of human behavior plays an important role in context-aware applications. However, it is still a challenge for end-users to build personalized applications that accurately recognize their own activities. Therefore, we present CAPturAR,...

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StoryMakAR: Bringing Stories to Life with an Augmented Reality & Physical Prototyping Toolkit for Youth

StoryMakAR: Bringing Stories to Life with an Augmented Reality & Physical Prototyping Toolkit for Youth

Apr 9, 2020

Makerspaces can support educational experiences in prototyping for children. Storytelling platforms enable high levels of creativity and expression, but have high barriers of entry. We introduce StoryMakAR, which combines making and storytelling....

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Vipo: Spatial-Visual Programming with Functions for Robot-IoT Workflows

Vipo: Spatial-Visual Programming with Functions for Robot-IoT Workflows

Mar 1, 2020

Mobile robots and IoT (Internet of Things) devices can increase productivity, but only if they can be programmed by workers who understand the domain. This is especially true in manufacturing. Visual programming in the spatial context of the...

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An Exploratory Study of Augmented Reality Presence for Tutoring Machine Tasks

An Exploratory Study of Augmented Reality Presence for Tutoring Machine Tasks

Mar 1, 2020

Machine tasks in workshops or factories are often a compound sequence of local, spatial, and body-coordinated human-machine interactions. Prior works have shown the merits of video-based and augmented reality (AR) tutoring systems for local tasks....

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Meta-AR-App: An Authoring Platform for Collaborative Augmented Reality in STEM Classrooms

Meta-AR-App: An Authoring Platform for Collaborative Augmented Reality in STEM Classrooms

Mar 1, 2020

Augmented Reality (AR) has become a valuable tool for education and training processes. Meanwhile, cloud-based technologies can foster collaboration and other interaction modalities to enhance learning. We combine the cloud capabilities with AR...

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Autonomous Robotic Exploration and Mapping of Smart Indoor Environments With UWB-IoT Devices

Autonomous Robotic Exploration and Mapping of Smart Indoor Environments With UWB-IoT Devices

Feb 9, 2020

The emerging simultaneous localization and mapping (SLAM) techniques enable robots with the spatial awareness of the physical world. However, such awareness remains at a geometric level. We propose an approach for quickly constructing a smart...

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Using Social Interaction Traced Data and Context to Predict Collaboration Quality and Creative Fluency in Collaborative Design Learning Environments

Using Social Interaction Traced Data and Context to Predict Collaboration Quality and Creative Fluency in Collaborative Design Learning Environments

Jan 28, 2020

Engineering design typically occurs as a collaborative process situated in specific context such as computer-supported environments, however there is limited research examining the dynamics of design collaboration in specific contexts. In this...

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Recent Publications

  • Object Synthesis by Learning Part Geometry with Surface and Volumetric Representations Object Synthesis by Learning Part Geometry with Surface and Volumetric Representations
  • First-Person View Hand Segmentation of Multi-Modal Hand Activity Video Dataset
  • A Large-scale Annotated Mechanical Components Benchmark for Classification and Retrieval Tasks with Deep Neural Networks

Lab News

  • Professor Ramani, Chronicle for Higher Education Panel Remote and Hands On: Trends in a New Way to Learn Professor Karthik Ramani participates in Chronicle’s Remote and Hands On: Trends in a New Way to Learn Panel
  • Digital Engineering 24/7 : Purdue University Uses Machine Learning to Classify Mechanical Objects
  • Inside Indiana Business Inside Indiana Business: Purdue’s Convergence Design Lab’s AR/VR Future of Work & Training SkillXR System

Featured Publications

  • An Exploratory Study of Augmented Reality Presence for Tutoring Machine Tasks
  • Meta-AR-App: An Authoring Platform for Collaborative Augmented Reality in STEM Classrooms
  • GhostAR: A Time-space Editor for Embodied Authoring of Human-Robot Collaborative Task with Augmented Reality
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