Papers
39
Total Citations
613
H-Index
12
About
Kazuyuki Morioka is a robotics researcher whose work sits at the intersection of human-centered robotics, intelligent environments, and autonomous navigation. Best known for his pioneering contributions to distributed intelligent sensor networks, Morioka has dedicated much of his career to enabling mobile robots to coexist naturally with humans in shared spaces. His most cited work, "Human-following mobile robot in a distributed intelligent sensor network" (2004, 206 citations), laid foundational groundwork for robots capable of tracking and accompanying humans through sensor-rich environments — a challenge requiring seamless coordination between networked devices and physical agents. A recurring theme throughout his research is the concept of "Intelligent Space," an environment populated with distributed sensors and computing devices that empower robots to perceive and respond to human presence more reliably. His studies on multi-camera object tracking, appearance-based identification, and cooperative positioning demonstrate a sustained effort to solve real-world perception challenges under occlusion and noise. More recently, Morioka has embraced deep reinforcement learning, proposing navigation systems that combine topological mapping with deep Q-networks and monocular cameras, reflecting his adaptability to emerging AI methodologies. Collectively, his body of work — spanning over 460 cumulative citations — represents a significant contribution to making robots genuinely useful partners in human environments.
Research Focus
Key Achievements
Top Papers
- 1Human-following mobile robot in a distributed intelligent sensor network206 citations · 2004
- 2Human centered robotics in intelligent space39 citations · 2003
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- 5Global Color Model Based Object Matching in the Multi-Camera Environment32 citations · 2006
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- 10Physical agent for human following in intelligent sensor network19 citations · 2003