Mr. Keisuke Matsuura | Fault-Tolerant Control | Excellence in Research

Mr. Keisuke Matsuura | Fault-Tolerant Control | Excellence in Research Award

Nagoya Institute of Technology | Japan

Mr. Keisuke Matsuura is a master’s student in Electrical and Electronic Engineering at Nagoya Institute of Technology, Japan. His research focuses on controlling quadruped robots using deep reinforcement learning, with an emphasis on fault-tolerant locomotion under sudden leg failures. He is developing robust walking policies that maintain stability and performance even when joint failures occur unexpectedly. His work includes joint-level analysis of fault-induced gait behaviors, providing valuable insights for improving reliability, Fault-Tolerant Control and real-world deployment of quadruped robots.

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Featured Publication

Mr. Fawad Khan | Real-Time Robotic Control | Research Excellence Award

Mr. Fawad Khan | Real-Time Robotic Control | Research Excellence Award

Shenzhen Institutes of Advanced Technology | China

Mr. Fawad Khan is a PhD researcher in Robotics and Artificial Intelligence at the Shenzhen Institutes of Advanced Technology, CAS, focusing on safe and constrained reinforcement learning for human–robot collaboration. His work develops safety-aware RL frameworks that enable robots to operate alongside humans while balancing task performance and safety guarantees. He has contributed benchmark environments and adaptive safety mechanisms for robotic manipulation in shared workspaces. His research targets real-world deployment in collaborative manufacturing, warehouse automation, Real-Time Robotic Control and assistive robotics, bridging theory with practical safety-critical applications.

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Featured Publications


Safe Reinforcement Learning for Vision-Based Robotic Manipulation in Human-Centered Environments


– International Journal of Intelligent Robotics and Applications, 2025


Safe Reinforcement Learning for Objects Manipulation in Safety-Critical Coordinated Tasks


– 2025 ISARC Proceedings, 42nd International Symposium on Automation and Robotics in Construction :contentReference[oaicite:0]{index=0}


Design and Analysis of the Mechanism for Flapping-Wing Air Vehicle


– 2024 IEEE International Conference on Robotics and Biomimetics (ROBIO) :contentReference[oaicite:1]{index=1}


3D Reconstruction in Industrial Environments Based on an Improved Neural Radiation Field Method


– International Conference on Computer Network Security and Software, 2022 :contentReference[oaicite:2]{index=2}