members:fiorino:fiorino
Differences
This shows you the differences between two versions of the page.
Both sides previous revisionPrevious revisionNext revision | Previous revision | ||
members:fiorino:fiorino [2019/03/29 16:17] – admin | members:fiorino:fiorino [2019/04/09 08:57] (current) – fiorino | ||
---|---|---|---|
Line 13: | Line 13: | ||
** Phone: ** (+33) 4 57 42 14 95 | ** Phone: ** (+33) 4 57 42 14 95 | ||
+ | ===== Publications ===== | ||
+ | [[members: | ||
+ | [[members: | ||
===== Background ===== | ===== Background ===== | ||
### | ### | ||
- | I received | + | I received |
### | ### | ||
===== Research Interest ===== | ===== Research Interest ===== | ||
+ | |||
+ | ### | ||
+ | I am interested in devising autonomous agents (softbots, physical robots etc.) Agent technologies envision artificial systems with a high degree of autonomy requiring only high-level supervision of human users. This autonomy simplifies human control and drastically improves the scope of agent achievable tasks. Fully autonomous agents are still out of reach: currently their performances under human remote control are very limited. However, in the near future, autonomous agents will become believable companions in our everyday lives and useful surrogates in dangerous or troublesome situations. The concepts and the algorithms that I investigate in my research works aim at contributing to the development of " | ||
### | ### | ||
- | My research is in ** Artificial Intelligence** but specially **automated planning and scheduling**, | ||
- | Automated planning is a branch of artificial intelligence that concerns the realisation of strategies or action sequences, typically for execution by intelligent agents, autonomous robots and unmanned vehicles. | ||
- | A typical planner takes three inputs: a description of the initial state of the world, a description of the desired goal, and a set of possible actions, all encoded in a formal language such as STRIPS. The planner produces a sequence of actions that lead from the initial state to a state meeting the goal. The difficulty of planning | + | ### |
- | lity, etc. Classical planners make all these assumptions and have been studied most fully. | + | **Keywords:** automated planning, machine learning, distributed |
- | + | ||
- | Distributed planning is concerned with planning by (and for) multiple agents. It can involve agents planning for a common goal, an agent coordinating the plans (plan merging) or planning of others, or agents refining their own plans while negotiating over tasks or resources. The topic also involves how agents can do this in real time while executing plans (distributed continual planning). | + | |
### | ### |
members/fiorino/fiorino.1553876276.txt.gz · Last modified: 2019/03/29 16:17 by admin