S. Wade-McCue
Papers
5
Total Citations
230
H-Index
5
About
S. Wade-McCue is a roboticist recognized for pioneering work in autonomous manipulation and robotic perception, with a focus on cost-effective, real-world solutions. Their most notable contribution is leading the design of Cartman, a low-cost Cartesian manipulator that won first place in the 2017 Amazon Robotics Challenge. This achievement, documented in their highly cited 2018 paper (141 citations), demonstrated how integrated design—combining a custom multi-modal end-effector with a pragmatic mechanical architecture—could outperform more expensive systems in pick-and-place warehousing tasks. Wade-McCue also advanced robotic vision through semantic segmentation techniques that function effectively with limited training data (52 citations), a critical innovation for handling unseen object categories and challenging surfaces like shiny or transparent materials. Their work on the grasping system (17 citations) further highlights how holistic design thinking, rather than isolated component optimization, drove competition success. With over 230 total citations, Wade-McCue’s research provides a blueprint for accessible, high-performance robotics, proving that clever integration and cost-conscious engineering can achieve state-of-the-art results in autonomous manipulation.
Research Focus
Key Achievements
Top Papers
- 1
- 2Semantic Segmentation from Limited Training Data52 citations · 2018
- 3
- 4
- 5Semantic Segmentation from Limited Training Data5 citations · 2017