Yoshiko Kojima
Toyota Motor Corporation (Switzerland), University of Washington
Papers
2
Total Citations
36
H-Index
2
About
Dr. Yoshiko Kojima’s research bridges two seemingly distinct worlds: autonomous vehicle navigation and the neural mechanisms of motor learning. Her pioneering work in advanced driver assistance systems (ADAS) led to a highly influential 2014 paper on automatic lane-level map generation using low-cost sensors (31 citations), which laid the groundwork for more reliable and precise digital maps that serve as critical priors for robotic driving. This contribution has been foundational for enhancing the performance of ADAS in real-world environments. More recently, Dr. Kojima has made a striking foray into neuroscience, investigating the role of the basal ganglia in error-based motor learning. Her 2021 study on monkeys, demonstrating that the substantia nigra pars reticulata modulates error-based saccadic learning (5 citations), challenges the long-held view that such learning is solely the province of the cerebellum. By connecting robotics to fundamental brain function, Dr. Kojima’s work offers profound insights into how both artificial and biological systems adapt and learn from mistakes, marking her as a uniquely interdisciplinary thinker.
Research Focus
Key Achievements
Top Papers
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- 2