Ryosuke Kono
Papers
4
Total Citations
24
H-Index
3
About
Ryosuke Kono is a robotics researcher focused on enabling safe, intuitive, and efficient navigation for human-symbiotic mobile robots. His primary research areas include human-aware path planning, intent conveyance, and error-tolerant robot navigation in dynamic environments. Kono’s most cited work, "Dynamic Waypoint Navigation" (2022, 15 citations), introduces a model-based adaptive trajectory planner that addresses the critical challenge of path planning in dynamic settings, offering adaptability to diverse passing scenarios and immediate planning times—a key advancement over conventional methods that often lack flexibility or speed. He has also explored control frameworks for physical human-robot interaction, such as forearm contact during navigation (2018, 4 citations), and developed sequential inducement strategies that allow robots to convey intent to humans, reducing hesitation and repetitive avoidance (2023, 3 citations). Most recently, Kono has contributed to human velocity estimation using Kalman filters with adjustable window sizes (2024, 2 citations), improving accuracy in human-coexistent environments. His work bridges the gap between theoretical path planning and practical, real-world deployment, making him a notable figure in the field of socially aware robotics.
Research Focus
Key Achievements
Top Papers
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