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About

Jordy Senden is a robotics researcher whose work centers on world modeling, active perception, and robust robotic control, with key applications in agri-food robotics and autonomous systems. His major contributions include developing knowledge-driven architectures that integrate world models as first-class citizens, enabling robots to achieve situational awareness and adapt to dynamic, unstructured environments. Senden’s most cited paper, “Multi-Hypothesis Tracking in a Graph-Based World Model for Knowledge-Driven Active Perception” (2023, 7 citations), introduces a novel framework for robust perception and decision-making. He has also advanced agricultural robotics, notably in “Exploiting plant dynamics in robotic fruit localization” (2022, 4 citations), addressing challenges like occluded peduncle localization for autonomous tomato harvesting. Senden’s work on invariant-based world models (2022, 2 citations) enhances system robustness by leveraging mathematical constraints to counteract disturbances, demonstrated on an autonomous football table. As a member of Tech United Eindhoven, he contributed to their Middle Size League victory in 2016 (3 citations). With a growing citation impact, Senden is shaping the future of adaptive, resilient robotic systems for complex real-world tasks.