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Cooking, made it easy

COLOMBIAN SPICY SAUCE

Dificulty: easy
Approx. quantity 1.5 cups

Artificial Intelligent

Temporal relaxed planning graph (TRPG)

TRPG is employed in CRIKEY3. The durative actions are splitting into start and end snap-actions, possitive and negative effects, respectively.

State Space Search

State space search involves finding a path from the initial state of a search problem to a goal state.

There are several reasons why the execution of a plan may fail, whether internal (the execution of an action fails) or external (changes in the world, damaged or add objects, etc). If we go to temporals plans, the factors may be much larger and more delicate, such action runs faster or slower than expected.

Classical planning and new approaches

"Classical AI planning is concerned with the generation of plans to achieve a set of pre-defined goals in situations where most relevant conditions in the outside world are known, and where the plan's success is not affected by changes in the outside world" Qiang Yang.

Astronomy

Visiting the Roque de los Muchachos

I was visiting the Roque de Los Muchachos Observatory from 6-7 Aug. It was awesome !

Figure 1. Observatory the Roque de los Muchachos.

Binary Search Tree

The Binary Search Tree is a data structure that store "items" (such as numbers, names etc.) in memory.

Robust Plan Execution in Multi-agent Environments

César Guzmán-Alvarez ¹, Pablo Castejon ¹, Eva Onaindia ¹, and Jeremy Frank ²
Universidad Politècnica de València¹, NASA Ames Research Center²

This paper appears in: IEEE 26th International Conference on Tools with Artificial Intelligence, ICTAI. Limassol, Cyprus.

Issue Date: Nov.10-12, 2014

Multi-agent Reactive Planning for Solving Plan Failures

César Guzmán-Alvarez ¹, Pablo Castejon ¹, Eva Onaindia ¹, and Jeremy Frank ²
Universidad Politècnica de València¹, NASA Ames Research Center²

This paper appears in: 8th International Conference on Hybrid Artificial Intelligent Systems, HAIS. Salamanca, Spain.

Issue Date: Sep.11-13, 2013

Template-Based Synthesis of Plan Execution Monitors

Thomas Reinbacher ¹, and César Guzmán-Alvarez ²
University of Vienna¹, Universidad Politècnica de València²

This paper appears in: 8th International Conference on Hybrid Artificial Intelligent Systems, HAIS. Salamanca, Spain.

Issue Date: Sep.11-13, 2013

PELEA: a Domain-Independent Architecture for Planning, Execution and Learning

César Guzmán¹, Vidal Alcázar², David Prior³, Eva Onaindia¹, Daniel Borrajo², Juan Fernández-Olivares³ and Ezequiel Quintero² .
Universidad Politècnica de València¹, Universidad Carlos III de Madrid², Universidad de Granada³

This paper appears in: Scheduling and Planning Applications woRKshop, SPARK - ICAPS. Sao Paulo, Brazil.

Issue Date: Jun. 25-29, 2012

Autonomous Mobile Robot Control and Learning with PELEA Architecture

Ezequiel Quintero², Ángel García-Olaya², Vidal Alcázar², Daniel Borrajo², Juan Fdez-Olivares³, César Guzmán¹, Eva Onaindía¹, David Prior³, Fernando Fernández³.
Universidad Carlos III de Madrid¹, Universidad Politècnica de València², Universidad de Granada³

This paper appears in: AAAI-11 Workshop on Automated Action Planning for Autonomous Mobile Robots, PAMR, San Francisco, USA.

Issue Date: Ago. 7, 2011

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cguzman

After graduating at the University of San Buenaventura Cartagena de Indias (Colombia), I traveled to Germany at the University of Heidelberg to learn German. I was joined as a Master candidate at University Politécnica of Valencia (Spain) at 2007. My master thesis in Computer Science was finished in 2009 with Dr. Eva Onaindia as my advisor. Next, I continued with my Ph.D. dissertation, which I finished at 5th april 2019. My main research interests are planning and scheduling, reactive planning in multi-agent systems, coordinate the plan execution of several agents, execution, monitoring, decision support for repairing and re-planning focused on any aspect of real life. I love the science and the space !