So Ikoma
Papers
1
Total Citations
9
H-Index
1
About
So Ikoma is a leading researcher in embodied AI and service robotics, with a focus on building general-purpose robot systems that can adapt to real-world environments. His most notable contribution is the development of **Self-Recovery Prompting**, a novel framework that integrates foundation models with a promptable architecture to create a general-purpose service robot (GPSR). This system, which debuted at RoboCup@Home 2023, enables robots to autonomously recover from task failures by re-prompting large language models, dramatically improving robustness in unstructured settings. His work bridges the gap between high-level AI planning and low-level robotic control, achieving 9 citations for his flagship 2024 paper. Ikoma’s research has been recognized for its practical impact on the RoboCup competition, where his system demonstrated state-of-the-art performance in executing diverse household tasks. By combining modular design with self-healing capabilities, he is paving the way for truly deployable service robots that can operate reliably outside controlled labs.
Research Focus
Key Achievements
Top Papers
- 1