Rex Jomy Joseph
Papers
4
Total Citations
28
H-Index
3
About
Rex Jomy Joseph is a robotics researcher whose work lies at the intersection of industrial automation, 3D perception, and human-robot collaboration. His primary research areas include automated 3D reconstruction, robotic composite manufacturing, and shared-autonomy mobile manipulation. Joseph’s most impactful contribution is his work on using low-cost depth cameras mounted on industrial robots to perform fast, accurate, and automated 3D reconstruction of large parts with complex geometries—a method that challenges the need for expensive metrology instruments. His 2021 paper on this topic has garnered 12 citations. In parallel, Joseph has advanced robotic layup of composite prepreg sheets, developing an online grasp plan refinement system that reduces defects during manufacturing, a contribution that has earned 8 citations. His 2022 framework for seeking human help to manage plan failure risks in semi-autonomous mobile manipulation, with 5 citations, demonstrates a thoughtful approach to shared autonomy. Through these works, Joseph is helping to make industrial robotics more accessible, reliable, and intelligent—paving the way for cost-effective automation in manufacturing and beyond.
Research Focus
Key Achievements
Top Papers
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