Jonathan Daudelin

Cornell University, University of Pennsylvania

Papers

Total Citations

195

H-Index

About

Jonathan Daudelin is a leading researcher in modular robotics and autonomous perception, whose work bridges the gap between reconfigurable hardware and intelligent decision-making. His most influential contribution, an integrated system for perception-driven autonomy with modular robots (110 citations), demonstrates how modular robots can autonomously reconfigure and complete high-level tasks in unknown environments—a foundational capability that has long been a theoretical promise of the field. Daudelin also developed a pioneering probabilistic next-best view algorithm for 3-D object reconstruction (83 citations), enabling mobile robots to strategically plan sensor placements for grasping and inspection tasks with minimal prior knowledge. His research extends into autonomous environment augmentation, where modular robots build structures to surmount large obstacles, expanding their operational scope. Through these contributions, Daudelin has advanced the practical realization of self-reconfiguring robots that perceive, plan, and act in unstructured settings. His work is essential reading for researchers in field robotics, autonomous exploration, and modular systems, offering a blueprint for robots that can adapt their morphology and behavior to achieve complex goals without human intervention.