Max Robotics — Global Service Robot Directory + US Certification

About

Tadanao Zanma is a control systems researcher whose work spans two interconnected domains: networked control systems (NCSs) with quantized feedback and optimal control of mobile robotics. His most significant contributions lie in advancing the theory and practice of dynamic quantization in communication-constrained environments, addressing the fundamental challenge of compressing control signals over limited network channels without sacrificing system performance. His 2017 paper on optimal input and quantization intervals for variable quantizers stands as his most influential work, accumulating 12 citations, and reflects a sustained research thread exploring how quantization parameters can be dynamically optimized alongside control inputs. Earlier foundational work from 2014 established variable discrete quantizer frameworks for both regulation and tracking objectives in NCSs. Zanma has also made meaningful contributions to mobile robotics, developing model predictive control strategies for two-wheeled nonholonomic robots that satisfy state and input constraints while optimizing cruising and tracking performance. His research addresses real-world motivations including teleoperation, telesurgery, and industrial remote control applications, bridging theoretical optimization with practical communication and robotic constraints. His body of work offers graduate researchers a coherent framework connecting quantization theory, optimal control, and constrained robotic systems.