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ROBOT PATH FINDER Case Study
1. Post Doctoral Researcher, UGA
BRAIN-IOT: PART III
ROBOT PATH FINDER
Abdelhakim Baouya
Torino, 7-8 February 2019
2. • The case study is briefly presented in D2.1 and D2.2
• A fleet of robots deployed in the warehouse,
• Three relevant zones are described in the case study: Unload Area,
Docking Area and Storage Area,
• A commanded door is continuously activated to enter the Storage area,
• Robotnik’s robots tote carts items around from an Unload to a Storage
area,
• An Orchestrator is deployed in charge of monitoring robots and storage
door.
DESCRIPTION
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4. • Each robot is identified by an Id,
• The Unload, Storage, and Docking area are identified by their location,
• Carts with items are placed in the Unload area,
• When the robot is in the Unload Area, it scans the cart ID and sends it to
the orchestrator,
• The Orchestrator fetches the cart items and logs the unloading operation,
• The robot moves the cart from the unload area to the Storage Area,
• If the Storage door is closed, the robot sends its ID to the orchestrator to
open it,
• The robot enters the Storage area and drops the item,
DESCRIPTION
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6. • Case 1: « When the robot is in the Unload Area, it scans the cart id and
sends it to the orchestrator »: Robots navigation within the unload area
• Case 2: The Robot movement from Docking to the unload area, from the
unload to the storage area,
• Case 3: «The robot enters the Storage area and drops the item»: How the
robots will find the location where to put the cart,
• Case 4: Collaborative robots : More than one robots collaborates to
accomplish a complex task.
SMART BEHAVIOR – D 2.1. SECTION 5.1.1
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14. CONTACTS
This project has received funding from the European Union’s Horizon 2020 research
and innovation programme under grant agreement No 780089.
Postdoctoral Researcher
Batiment IMAG - UGA
+ 33 6 17 17 32 23
abdelhakim.baouya@univ-grenoble-alpes.fr
CONTACTS
ABDELHAKIM BAOUYA