Papers
3
Total Citations
27
H-Index
3
About
Toru Saeki is a leading researcher in industrial robotics, specializing in motion planning, vibration control, and automation for high-precision manufacturing. His work addresses critical challenges in semiconductor and liquid crystal panel production, where speed and accuracy are paramount. Saeki’s most-cited paper (2013, 13 citations) introduces a time-optimal trajectory generation method for industrial robots operating in rectangular spaces, overcoming high computational demands to enable real-time obstacle avoidance—a significant advance over prior approaches. He has also made notable contributions to vibration suppression, as seen in his 2011 study (10 citations) on parameter identification and input shaping for semiconductor wafer transfer robots, and his 2014 experimental validation (4 citations) of preshaping control to eliminate residual vibrations during high-speed motion. These innovations directly enhance cycle times and precision in automated manufacturing. Saeki’s work is widely recognized for bridging theoretical control algorithms with practical industrial applications, offering robust solutions that improve robot performance in constrained environments. His research continues to influence the development of safer, faster, and more reliable robotic systems in advanced manufacturing settings.
Research Focus
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Top Papers
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