Ruochen Tai

Shanghai Jiao Tong University, Nanyang Technological University

Papers

Total Citations

H-Index

About

Ruochen Tai is a researcher focused on the intersection of robotics, automation, and cybersecurity, with key contributions in multi-robot coordination and discrete-event systems. Their most cited work, "A prioritized planning algorithm of trajectory coordination based on time windows for multiple AGVs with delay disturbance" (2019, 39 citations), addresses a critical challenge in warehouse automation: managing motion delays caused by component failures, network instability, or human interference. This algorithm enhances the reliability of multiple automated guided vehicles (AGVs) by prioritizing trajectories and using time windows to mitigate disturbances, directly improving operational efficiency in logistics. Tai further advanced multi-robot systems with a "Bi-Level Probabilistic Path Planning Algorithm for Multiple Robots with Motion Uncertainty" (2020), which partitions maps into districts to handle motion uncertainties, boosting system robustness. In a notable shift toward cybersecurity, Tai's work on "Synthesis of Distributed Covert Sensor–Actuator Attackers" (2023) explores vulnerabilities in distributed discrete-event systems, designing attackers that can manipulate sensors and actuators—a critical contribution to securing automated infrastructures. With a growing citation impact, Tai's research bridges practical robotics challenges and emerging security threats, offering valuable insights for students and researchers in automation, control systems, and cyber-physical security.