Shingo Ito

University of Toronto, TU Wien

Papers

3

Total Citations

89

H-Index

3

About

Shingo Ito is a leading figure in mobile robotics and high-precision automation, whose work bridges the gap between rugged outdoor navigation and delicate industrial metrology. His foundational research on autonomous stair climbing, detailed in two highly cited papers from 2007 and 2008 (each garnering 35 citations), introduced novel algorithms for reconfigurable tracked robots. These contributions enabled machines to autonomously ascend and descend stairs, a critical capability for urban surveillance, reconnaissance, and hazardous environment operations, effectively expanding the operational domain of mobile robots from natural terrains to complex artificial structures. In a significant shift toward precision engineering, Ito’s more recent work tackles the challenge of inline metrology. His 2021 paper on supplemental peak filters for disturbance rejection, with 19 citations, presents a high-precision end-effector for a robot-based measurement platform. By integrating an electromagnet and a tailored control scheme, this system achieves high-resolution measurements directly on the production line, a breakthrough for quality control in manufacturing. Ito’s career demonstrates a rare versatility, moving from the robust mechanics of stair-climbing robots to the nanometer-level precision of industrial automation, marking him as a researcher who solves real-world problems across scales.

Research Focus

Key Achievements

3
H-Index
3
Papers
89
Total Citations
30
Avg Citations/Paper
🏆 Most Cited Paper
Autonomous Stair Climbing with Reconfigurable Tracked Mobile Robot
35 citations · 2007
📈 Most Prolific Year: 2007 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: University of Toronto, TU Wien

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago