Jill Urbanic

About

Jill Urbanic is a prominent researcher specializing in robotics, collaborative robot (CoBot) integration, additive manufacturing, and artificial intelligence applications in advanced manufacturing systems. Her work bridges the gap between theoretical robotics and practical industrial implementation, making her a significant voice in modern manufacturing research. Urbanic's most influential contribution, "A Framework for Collaborative Robot Integration in Advanced Manufacturing Systems" (2016), has garnered 225 citations, establishing her as a leading authority on CoBot deployment in industrial environments. Her sustained focus on robot kinematics — spanning workspace visualization, inverse kinematic solutions using artificial neural networks, and multi-DOF robot modeling — reflects a comprehensive approach to understanding how robots can be more effectively deployed and controlled. Her research extends into additive manufacturing, exploring direct energy deposition processes and laser cladding, while also pioneering creative CoBot applications such as fabric handling, agricultural harvesting automation, and material deposition path planning. These diverse applications demonstrate her commitment to solving real-world labor challenges through intelligent automation. With over 390 cumulative citations and a research trajectory spanning more than a decade, Urbanic's interdisciplinary contributions continue to shape how engineers and manufacturers think about integrating intelligent robotic systems into complex, evolving production environments.

Research Focus

Key Achievements

Top Papers

1. 1
   A Framework for Collaborative Robot (CoBot) Integration in Advanced Manufacturing Systems

   225 citations · 2016
2. 2
   Use of Artificial Neural Networks for the Development of an Inverse Kinematic Solution and Visual Identification of Singularity Zone(s)

   46 citations · 2014
3. 3
   Neural Network Model for Identifying Workspace, Forward and Inverse Kinematics of the 7-DOF YuMi 14000 ABB Collaborative Robot

   38 citations · 2019
4. 4
   Performance Study of an Innovative Collaborative Robot Gripper Design on Different Fabric Pick and Place Scenarios

   22 citations · 2020
5. 5
   Investigation of effects of different moving heat source scanning patterns on thermo-mechanical behavior in direct energy deposition manufacturing

   21 citations · 2022
6. 6
   Using collaborative robots to assist with travel path development for material deposition based additive manufacturing processes

   12 citations · 2018
7. 7
   Effective Work Region Visualization for Serial 6 DOF Robots

   10 citations · 2013
8. 8
   A Prototype Pick and Place Solution for Harvesting White Button Mushrooms Using a Collaborative Robot

   7 citations · 2023
9. 9
   Investigating Process Parameters and Microhardness Predictive Modeling Approaches for Single Bead 420 Stainless Steel Laser Cladding

   6 citations · 2017
10. 10
    Functional Work Space Estimation of a Robot Using Forward Kinematics, D-H Parameters, and Shape Analyses

    6 citations · 2012

Key Collaborators

Contact & Links