Philippe Morignot

Stanford University, Laboratoire d'Intégration des Systèmes et des Technologies, FORTH Institute of Computer Science

Papers

Total Citations

158

H-Index

About

Philippe Morignot’s research career is anchored at the intersection of artificial intelligence, robotics, and software architecture, with a particular focus on enabling autonomous systems to act intelligently in dynamic, real-world environments. His most influential work, "A domain-specific software architecture for adaptive intelligent systems" (1995, 121 citations), established a foundational framework for designing software that supports system reconfiguration and functional adaptability—a critical contribution to the field of intelligent robotics. Morignot further advanced autonomous robot control by integrating behavior-based and goal-directed action in his 2002 work on plan execution for behavior-based robots, proposing a conceptual architecture that bridges reactive behaviors with traditional action planning. His later research expanded into assistive robotics, as seen in his 2010 paper on object recognition and ontology for manipulation, demonstrating a commitment to practical, human-interactive systems. While his earlier work on embedded planning (1994) and multi-agent coordination (2002) garnered fewer citations, they reflect a sustained effort to solve core challenges in real-time planning and heterogeneous agent collaboration. Across his career, Morignot has consistently tackled the problem of how to make intelligent systems both robust and adaptive, leaving a lasting impact on the design of autonomous robotic architectures.