Shoh Nishino
MS student in Mechanical Engineering
Shoh is a first-year M.S. student in the Mechanical and Aerospace Engineering (MAE) department at the University of California, Los Angeles (UCLA), with a focus in robotics and control. He is a graduate researcher in the UCLA Practice Lab, advised by Professor Anushri Dixit.
His research applies conformal prediction and other statistical uncertainty quantification methods to anomaly detection in robotic navigation. By detecting and quantifying distribution shift at the action, scene, and trajectory levels, he aims to make robot motion planning across modalities safer and more reliable. He has also worked with Qizhao Chen on CPNav, which uses conformal prediction to calibrate vision-language model decisions for object-goal search in unseen environments. He is also part of a graduate and undergraduate team designing and building an amphibious robot for littoral and shallow-water environments. His interests span both the theoretical and mechanical design sides of robotics, and he hopes to carry his work into industry.
Current Education:
M.S. in Mechanical Engineering, University of California, Los Angeles
Past Education:
B.S. in Mechanical Engineering, University of California, Los Angeles