Michiel de Jong
Papers
1
Total Citations
24
H-Index
1
About
Michiel de Jong is a leading researcher in social robotics, with a focus on developing robust, interactive systems that can learn and adapt in real-world environments. His most cited work, "Towards a Robust Interactive and Learning Social Robot" (2018, 24 citations), centers on the humanoid robot Pepper, a platform specifically designed for social interaction. De Jong’s major contribution lies in advancing the perception and behavior capabilities of such robots, enabling them to operate reliably in public spaces. By tackling challenges in robustness and interactive learning, he has helped bridge the gap between controlled lab settings and unpredictable human environments. His research emphasizes how programmable social robots can be fine-tuned for tasks ranging from customer service to education, demonstrating practical impact through real-world deployments. With 24 citations on this pivotal paper alone, de Jong’s work continues to influence the design of more resilient, socially aware machines. His achievements highlight a commitment to making social robots not just functional, but genuinely responsive and adaptive—a critical step toward seamless human-robot collaboration.
Research Focus
Key Achievements
Top Papers
- 1Towards a Robust Interactive and Learning Social Robot24 citations · 2018