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D-Index & Metrics

Engineering and Technology

D-Index
39
Citations
7289
World Ranking
7621
National Ranking
2094

Overview

Patricio A. Vela is affiliated with the Georgia Institute of Technology in the United States. Their research spans multiple fields within engineering and computer science, with a significant focus on robotics and related disciplines.

The main fields of study for Patricio A. Vela include:

  • Engineering
  • Computer Science

Within these areas, their work is categorized into several subfields of study:

  • Computer Vision and Pattern Recognition
  • Control and Systems Engineering
  • Artificial Intelligence
  • Aerospace Engineering
  • Mechanical Engineering

The scientist has contributed to a variety of topics centered largely around robotics and vision systems:

  • Robotics and Sensor-Based Localization
  • Robot Manipulation and Learning
  • Robotic Path Planning Algorithms
  • Hand Gesture Recognition Systems
  • 3D Surveying and Cultural Heritage
  • Human Pose and Action Recognition
  • Advanced Vision and Imaging

The publication record of Patricio A. Vela includes numerous papers in prestigious venues. Their recent papers include:

  • An Affordance Keypoint Detection Network for Robot Manipulation, 2021, IEEE Robotics and Automation Letters
  • GKNet: Grasp keypoint network for grasp candidates detection, 2022, The International Journal of Robotics Research
  • Single-Stage Keypoint-Based Category-Level Object Pose Estimation from an RGB Image, 2022, 2022 International Conference on Robotics and Automation (ICRA)
  • Multi-view Fusion for Multi-level Robotic Scene Understanding, 2021, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • Keypoint-Based Category-Level Object Pose Tracking from an RGB Sequence with Uncertainty Estimation, 2022, 2022 International Conference on Robotics and Automation (ICRA)

Frequent publication venues for this researcher include:

  • arXiv (Cornell University)
  • IEEE Robotics and Automation Letters
  • 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • 2022 International Conference on Robotics and Automation (ICRA)
  • The International Journal of Robotics Research

Coauthorship is a notable aspect of Patricio A. Vela's research collaborations. Frequent co-authors are:

  • Yunzhi Lin
  • Stephen Tyree
  • Stan Birchfield
  • Shiyu Feng
  • Ruinian Xu

Their collective work reflects an interdisciplinary approach, combining elements from artificial intelligence, control systems, and vision-based robotics to address questions in robot manipulation, localization, pose estimation, and scene understanding.

Best Publications

  • A comparative study of efficient initialization methods for the k-means clustering algorithm

    M. Emre Celebi;Hassan A. Kingravi;Patricio A. Vela

  • Real-World Multiobject, Multigrasp Detection

    Fu-Jen Chu;Ruinian Xu;Patricio A. Vela

  • Construction performance monitoring via still images, time-lapse photos, and video streams

    Jun Yang;Man-Woo Park;Patricio A. Vela;Mani Golparvar-Fard

  • Performance evaluation of ultra wideband technology for construction resource location tracking in harsh environments

    T. Cheng;M. Venugopal;J. Teizer;P.A. Vela

  • Personnel tracking on construction sites using video cameras

    J. Teizer;P. A. Vela

  • Tracking multiple workers on construction sites using video cameras

    J. Yang;O. Arif;P. A. Vela;J. Teizer

  • Bayesian Nonparametric Adaptive Control Using Gaussian Processes

    Girish Chowdhary;Hassan A. Kingravi;Jonathan P. How;Patricio A. Vela

  • Comparison of Image-Based and Time-of-Flight-Based Technologies for Three-Dimensional Reconstruction of Infrastructure

    Fei Dai;Abbas Rashidi;Ioannis Brilakis;Patricio Vela

  • Vision-Based Tower Crane Tracking for Understanding Construction Activity

    Jun Yang;Patricio Vela;Jochen Teizer;Zhongke Shi

  • Fusion of Photogrammetry and Video Analysis for Productivity Assessment of Earthwork Processes

    M. Bügler;A. Borrmann;G. Ogunmakin;P. A. Vela

  • Trajectory stabilization for a planar carangiform robot fish

    K.A. Morgansen;P.A. Vela;J.W. Burdick

  • Modulation of orthogonal body waves enables high maneuverability in sidewinding locomotion

    Henry C. Astley;Chaohui Gong;Jin Dai;Matthew Travers

  • A Review of Automated Construction Progress Monitoring and Inspection Methods

    M Kopsida;I Brilakis;P A Vela

  • Good features to track for visual SLAM

    Guangcong Zhang;Patricio A. Vela

  • Locomotor benefits of being a slender and slick sand swimmer

    Sarah S. Sharpe;Stephan A. Koehler;Robyn M. Kuckuk;Miguel Serrano

  • Automated Pavement Patch Detection and Quantification Using Support Vector Machines

    Georgios M. Hadjidemetriou;Patricio A. Vela;Symeon E. Christodoulou

  • Synthesis of Control Barrier Functions Using a Supervised Machine Learning Approach

    Mohit Srinivasan;Amogh Dabholkar;Samuel Coogan;Patricio A. Vela

  • Underwater locomotion from oscillatory shape deformations

    P.A. Vela;K.A. Morgansen;J.W. Burdick

  • Averaging and control of nonlinear systems

    Patricio Antonio Vela

  • Data Fusion Approaches and Applications for Construction Engineering

    Seyed Mohsen Shahandashti;Saiedeh N. Razavi;Lucio Soibelman;Mario Berges

  • Modulation of orthogonal body waves enables high maneuverability in sidewinding locomotion

    Henry Astley;Chaohui Gong;Matt Travers;Miguel Serrano

Frequent Co-Authors

Ioannis Brilakis
Ioannis Brilakis University of Cambridge
Allen Tannenbaum
Allen Tannenbaum Stony Brook University
Jochen Teizer
Jochen Teizer Technical University of Denmark
Girish Chowdhary
Girish Chowdhary University of Illinois at Urbana-Champaign
Daniel I. Goldman
Daniel I. Goldman Georgia Institute of Technology
Marc Niethammer
Marc Niethammer University of North Carolina at Chapel Hill
Maysam Ghovanloo
Maysam Ghovanloo Silicon Creations Inc.
Aaron D. Ames
Aaron D. Ames California Institute of Technology
Howie Choset
Howie Choset Carnegie Mellon University

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