- \n
![\"\"](\"https:\/\/babel.isa.uma.es\/jafma\/wp-content\/uploads\/2024\/02\/desarrollo.png\")
COGNITIVE ROBOTICS<\/a><\/li>\n![\"\"](\"https:\/\/babel.isa.uma.es\/jafma\/wp-content\/uploads\/2024\/02\/estadisticas.png\")
STATISTICAL INFERENCE<\/a><\/li>\n![\"\"](\"https:\/\/babel.isa.uma.es\/jafma\/wp-content\/uploads\/2024\/02\/robot.png\")
ROBOTIC SOFTWARE DEVELOPMENT<\/a><\/li>\n![\"\"](\"https:\/\/babel.isa.uma.es\/jafma\/wp-content\/uploads\/2024\/02\/idea.png\")
TEACHING INNOVATION<\/a><\/li>\n<\/ul>\n<\/div>\n<\/a><\/p>\n
<\/div>\n- \n
-
![\"https:\/\/www.deviantart.com\/mattdixon\/art\/Patience-594586780\"](\"https:\/\/babel.isa.uma.es\/jafma\/wp-content\/uploads\/2024\/02\/patience_by_mattdixon_d9u023g.jpg\")
![\"\"](\"https:\/\/babel.isa.uma.es\/jafma\/wp-content\/uploads\/2024\/02\/copyright.png\")
<\/a>
COGNITIVE ROBOTICS<\/strong><\/span>\n<\/ul>\n- \n
- Decision Making<\/strong>
![\"\"](\"https:\/\/babel.isa.uma.es\/jafma\/wp-content\/uploads\/2024\/02\/libro.png\" "\\"publications\\"")
<\/a>\n- \n
- Reinforcement learning in Robotics. Application of RL to learn diverse robotic skills\/tasks and as a component in intelligent robotic architectures.<\/span><\/li>\n
- Decision making for robots. Automated decision making for robots under uncertainty, with large-scale state spaces and with special attention to low power computational platforms.<\/span><\/li>\n<\/ul>\n<\/li>\n
- Knowledge Inference<\/strong>\n
- \n
- Bayesian inference for detecting and solving robotic sensor anomalies. Novel sensory architectures endowed with probabilistic deduction capabilities for improving the robustness of mobile robot operations.<\/span> <\/a><\/li>\n<\/ul>\n<\/li>\n
- Task Planning<\/strong>
<\/a>\n- \n
- Semantic task planning for robots. Seminal works on the inclusion of semantic knowledge in mobile robots.<\/span><\/li>\n
- Hierarchical task planning for robots. Use of multiple mathematical abstraction for reducing the computational cost of robot task planning.<\/span><\/li>\n<\/ul>\n<\/li>\n
- Knowledge representation<\/strong>\n
- \n
- Bayesian representations of robotic sensory systems. Representation of robot sensory systems with dynamic Bayesian networks and multiple ontological axes.<\/span> <\/a><\/li>\n
- Symbolic, multi-hierarchical representations of the environment for mobile robots. Implementation and learning of multiple hierarchies to optimize different robot operations at once.<\/span>
<\/a><\/li>\n- Semantic representations of the environment for mobile robots. Leveraging our multi-hierarchical abstraction approach to include semantic knowledge into a symbolic representation of the environment.<\/span>
<\/a><\/li>\n- Hybrid metrical-topological representations of the environment for mobile robots. Probabilistically sound integration of topological and metrical maps into a Bayesian filter for SLAM.<\/span>
<\/a><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/a><\/p>\n
<\/div>\n- \n
-
![\"\"](\"https:\/\/babel.isa.uma.es\/jafma\/wp-content\/uploads\/2024\/02\/marking_time_by_mattdixon_ddu6el6.jpg\")
<\/a>
STATISTICAL INFERENCE<\/strong><\/span>\n<\/ul>\n- \n
- Mobile robot localization and mapping<\/strong>. Large-scale SLAM for mobile robots through Bayesian filtering.<\/span> <\/a><\/li>\n
- Modeling and prediction of stochastic delays in networked telerobots<\/strong>. Marginal probabilistic modelling of stochastic delays in remotely controlled sensory systems and novel clock synchronization algorithms.<\/span>
<\/a><\/li>\n- Statistical inference applied to civil safety in diverse sectors<\/strong>. Bayesian filtering applied to safety for construction workers and other civil contexts.<\/span>
<\/a><\/li>\n- Experimental design in Engineering<\/strong>. Sound application of analysis of variance to diverse research works.<\/span><\/li>\n<\/ul>\n
<\/a><\/p>\n
<\/div>\n- \n
-
![\"\"](\"https:\/\/babel.isa.uma.es\/jafma\/wp-content\/uploads\/2024\/02\/your_turn_by_mattdixon_dcgcmx2.jpg\")
<\/a>
ROBOTIC SOFTWARE DEVELOPMENT<\/strong><\/span>\n<\/ul>\n- \n
- Software Engineering <\/strong>. Application of software engineering methodologies to robotic software development.<\/span> <\/a><\/li>\n
- Software Architectures<\/strong>. Design of intelligent robot control architectures.<\/span>
<\/a><\/li>\n<\/ul>\n<\/a><\/p>\n
<\/div>\n- \n
-
![\"\"](\"https:\/\/babel.isa.uma.es\/jafma\/wp-content\/uploads\/2024\/02\/lexicon_by_mattdixon_ddtr5gi.jpg\")
<\/a>
TEACHING INNOVATION<\/strong><\/span>\n<\/ul>\n- \n
- Teaching Innovation in Engineering<\/strong>. Diverse contributions to education in Engineering in an University context.<\/span> <\/a><\/li>\n<\/ul>\n<\/div>\n\n
\nIcon attributions: <\/p>\n- \n
- Cognitivo iconos creados por Freepik – Flaticon<\/a><\/li>\n
- Estad\u00edsticas iconos creados por Good Ware – Flaticon<\/a><\/li>\n
- Robot iconos creados por Freepik – Flaticon<\/a><\/li>\n
- Aprender en l\u00ednea iconos creados por Smashicons – Flaticon<\/a><\/li>\n
- Libro iconos creados por Smashicons – Flaticon<\/a><\/li>\n<\/ul>\n<\/div>\n","protected":false},"excerpt":{"rendered":"
The following are the general topics of my research (more details by clicking’em): COGNITIVE ROBOTICS STATISTICAL INFERENCE ROBOTIC SOFTWARE DEVELOPMENT TEACHING INNOVATION COGNITIVE ROBOTICS Decision Making Reinforcement learning in Robotics. Application of RL to learn diverse robotic skills\/tasks and as a component in intelligent robotic architectures. Decision making for robots. Automated decision making for robots […]<\/p>\n","protected":false},"author":1,"featured_media":98,"parent":33,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-183","page","type-page","status-publish","has-post-thumbnail","hentry"],"_links":{"self":[{"href":"https:\/\/babel.isa.uma.es\/jafma\/index.php\/wp-json\/wp\/v2\/pages\/183"}],"collection":[{"href":"https:\/\/babel.isa.uma.es\/jafma\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/babel.isa.uma.es\/jafma\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/babel.isa.uma.es\/jafma\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/babel.isa.uma.es\/jafma\/index.php\/wp-json\/wp\/v2\/comments?post=183"}],"version-history":[{"count":188,"href":"https:\/\/babel.isa.uma.es\/jafma\/index.php\/wp-json\/wp\/v2\/pages\/183\/revisions"}],"predecessor-version":[{"id":1170,"href":"https:\/\/babel.isa.uma.es\/jafma\/index.php\/wp-json\/wp\/v2\/pages\/183\/revisions\/1170"}],"up":[{"embeddable":true,"href":"https:\/\/babel.isa.uma.es\/jafma\/index.php\/wp-json\/wp\/v2\/pages\/33"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/babel.isa.uma.es\/jafma\/index.php\/wp-json\/wp\/v2\/media\/98"}],"wp:attachment":[{"href":"https:\/\/babel.isa.uma.es\/jafma\/index.php\/wp-json\/wp\/v2\/media?parent=183"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
- Estad\u00edsticas iconos creados por Good Ware – Flaticon<\/a><\/li>\n
- Cognitivo iconos creados por Freepik – Flaticon<\/a><\/li>\n
- Teaching Innovation in Engineering<\/strong>. Diverse contributions to education in Engineering in an University context.<\/span>
- Software Architectures<\/strong>. Design of intelligent robot control architectures.<\/span>
- Software Engineering <\/strong>. Application of software engineering methodologies to robotic software development.<\/span>
- Modeling and prediction of stochastic delays in networked telerobots<\/strong>. Marginal probabilistic modelling of stochastic delays in remotely controlled sensory systems and novel clock synchronization algorithms.<\/span>
- Mobile robot localization and mapping<\/strong>. Large-scale SLAM for mobile robots through Bayesian filtering.<\/span>
- Symbolic, multi-hierarchical representations of the environment for mobile robots. Implementation and learning of multiple hierarchies to optimize different robot operations at once.<\/span>
- Hierarchical task planning for robots. Use of multiple mathematical abstraction for reducing the computational cost of robot task planning.<\/span><\/li>\n<\/ul>\n<\/li>\n
- Task Planning<\/strong>
- Decision making for robots. Automated decision making for robots under uncertainty, with large-scale state spaces and with special attention to low power computational platforms.<\/span><\/li>\n<\/ul>\n<\/li>\n
- Reinforcement learning in Robotics. Application of RL to learn diverse robotic skills\/tasks and as a component in intelligent robotic architectures.<\/span><\/li>\n
- Decision Making<\/strong>