Daniel Borrajo

About

Daniel Borrajo is a leading figure in artificial intelligence, whose research has fundamentally advanced the integration of automated planning, learning, and execution for autonomous systems. His work is pivotal in bridging the gap between high-level AI reasoning and real-world robotic control, with a strong emphasis on multi-agent cooperation. Borrajo’s most influential contribution is the development of the PELEA architecture (Planning, Execution, and LEarning Architecture), a domain-independent platform that seamlessly integrates sensing, planning, monitoring, and learning from past experiences. This framework, detailed in papers with over 25 citations each, has been successfully applied to control autonomous underwater vehicles for environmental monitoring and to guide mobile robots like the Pioneer P3DX. His early work on the ABC2 multi-agent model for robot control and cooperation, applied in the RoboCup domain, laid the groundwork for cooperative multi-robot systems. With a total of over 200 citations across his top ten papers, Borrajo’s research is essential reading for anyone interested in creating truly autonomous systems that can learn and adapt in dynamic, real-world environments.

Research Focus

Key Achievements

Top Papers

1. 1
   An Integrated Approach of Learning, Planning, and Execution

   70 citations · 2000
2. 2
   A Reinforcement Learning Algorithm in Cooperative Multi-Robot Domains

   37 citations · 2005
3. 3
   Planning, learning, and executing in autonomous systems

   27 citations · 1997
4. 4
   PELEA: a Domain-Independent Architecture for Planning, Execution and Learning

   25 citations · 2012
5. 5
   ABC2 an Agenda Based Multi-Agent Model for Robots Control and Cooperation

   13 citations · 2001
6. 6
   AUV Based Multi-vehicle Collaboration: Salinity Studies in Mar Menor Coastal Lagoon

   12 citations · 2012
7. 7
   Autonomous mobile robot control and learning with the PELEA architecture

   11 citations · 2011
8. 8
   Using ABC 2 in the RoboCup domain

   8 citations · 1998
9. 9
   Modeling Motivations, Personality Traits and Emotional States in Deliberative Agents Based on Automated Planning

   7 citations · 2013
10. 10
    Using Activity Recognition for Building Planning Action Models

    7 citations · 2013

Key Collaborators

Contact & Links