Papers

4

Total Citations

84

H-Index

3

About

Michael Bach’s research bridges robotics and assistive technology, with a foundational contribution to inverse kinematics for kinematically redundant manipulators. His 1984 paper (65 citations) introduced a solution for computing joint sequences from Cartesian motion, a critical advance for robot flexibility and control that remains influential in robotics. More recently, Bach has focused on enhancing environmental perception for visually impaired individuals, developing systems that overcome the limitations of traditional canes. His 2009 work (10 citations) and related studies (7 and 2 citations) explore real-time, non-auditory feedback methods to expand accessible space, addressing a persistent challenge in assistive technology. While his earlier robotics work established a technical legacy, his later shift toward human-centered applications demonstrates a commitment to translating engineering principles into tangible societal benefit. Bach’s career reflects a rare versatility—from solving abstract kinematic problems to engineering practical aids for daily life—underscoring a dedication to both theoretical rigor and real-world impact.

Research Focus

Key Achievements

3
H-Index
4
Papers
84
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
An inverse kinematic solution for kinematically redundant robot manipulators
65 citations · 1984
📈 Most Prolific Year: 2009 (3 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: University of Illinois Chicago, University Medical Center Freiburg, University Medical Center

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago