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Update README.md

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# CARESSER: aCtive leARning agEnt aSsiStive bEhaviouR
# CARESSER: Personalised Robot-assisted Cognitive Training
#### "Introducing CARESSER: a Framework for in Situ Learning Robot Social Assistance from Expert Knowledge and Demonstrations" [Website link](http://www.iri.upc.edu/groups/perception/#CARESSER)
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#### Packages:
- [CARESSER (Personalised Robot-Assisted Cognitive Training)](https://github.com/aandriella/CARESSER)
- [CARESSER (aCtive leARning agEnt aSsiStive bEhaviouR)](https://github.com/aandriella/carf)
The main package in change of generating the exercise and managing the interactions between the patients and the therapist (either human or robot). It has two branches:
-- caregiver_in_the_loop: the therapist is the human
-- robot_in_the_loop: the therapist is the robot
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- [Robot Face Visalizer](https://github.com/aandriella/robot_face_visualizer)
This package reproduces on a screen some facial expressions
- [Robot Facial Expression](https://github.com/aandriella/robot_facial_expression)
This pakage generates the facial expressions using OpenCV, it is based on previous work from Bilgehan NAL on the Baxter robot ( [git Repo](git@github.com:bilgehannal/baxter_face_software.git))
This pakage generates the facial expressions using OpenCV, it is based on previous work from ... on the Baxter robot
- [MaxEntRL](https://github.com/aandriella/MaxEntRL)
This package generates the robot's policy by the data provided by the GOAL simulator
The IRL code is based on the work of [ Maximilian Luz](https://github.com/qzed/irl-maxent).
- [Generative mOdel Agent simuLation (GOAL)](https://github.com/aandriella/GOAL)
This package generates syntetic data by using the GOAL simulator. Two BNs are built one which models the therapist (human and robotic) and the other which models the patient.
In implements the simulator which
The BNs are built by gathering data from real interactions and therapist's expertise on the patient cognitive abilities.
- [Generative Mutual Shaping RL](https://github.com/aandriella/GenMutShapRL)
This package generates syntetic data by starting from the BN models of the patient and the robot. The BNs are built by gathering data from real interactions and therapist's expertise on the patient cognitive abilities.
#### Package:
- **launch** contains the launch file which run the entire framework. It contains also all the pre-recorded actions of assistance provided by the robot (only possible to use with the TIAGo)
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