Masters in Logistics: Building a Plant Robot 'LEGO'

MASTERS IN LOGISTICS
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EXECUTIVE SUMMARY
In the world of today, robots have excelled in performing tasks that are preprogrammed. These robots
work very well in the environment that is properly controlled with objects that are well defined. It
however important to note that those robots cannot cope perfectly with the complexities of the real world
situations. Some of these real problems are very complicated that they cannot be summarized into a set of
specifications. The use of sensors has greatly improved the performance of the robots and this has aided
in the connection or passing of information from one robot to another. There has been improvement in the
poor knowledge of robots. This improvement in the knowledge will allow tomorrows robots to identify
objects properly, improved actions over time in specific designs.
INTRODUCTION
The robots of today are basically not capable of understanding the environments that are not structured.
The available systems rely on the specifications that are highlighted. This specification will provide the
guidance until the robot cope with the task. The program to each response is done in advance .In the
execution of this particular programmed task, the robot will have to rely on the feedback mechanism to
have continuation of the operation. The robot will try to make the necessary adjustment. The major
disadvantage of this operation is that the next time a similar opera ration is required, the starting point has
to be the same (Zwilling, Niemueller & Lakemeyer 2014 ).
The ability of the robot to sense and act appropriately can be enhanced through global
memorization.However,there has been lack of these crucial parameters and this actually hinders the
process. This approach experiences several limitations since the real world is known to be too
complicated. The unpredictable nature of the real life problems further worsens the situation. The
instructions that have always been laid out to guide the robots are characterized by gaps, conflicts and
even ambiquity.The growth of the common cheap sensors has led to exponential growth of sensors and
this has led to problems in extracting meaning and purpose from some of these sensors. Despite these

changes, robots have improved the capacity of production in the manufacturing industries especially in
the cases where human beings cannot assist. In addition, there have been improved safety measures
through utility of the robots( Jeon & Lee 2016).
MAIN OBJECTIVE
To build a plant robot “LEGO”
Specific Objectives
 Calculation of cycle time
 Calculation of the production volume
 Calculation of the real capacity
LITERATURE REVIEW
Each individual robot collects data using its sensors. From this particular data, the objects are detected
and then labeled. These measurements however are very uncertain owing to the fact that there is
measurement noise. These kinds of data must be associated with the real world objects. The real world
parameters are then tracked as a function of time. The set of the tracked and static data object constitutes
the local world model that is utilized by the robot itself( Niemueller et al.2015).
The system will need to interpret the task that is to be executed and also combine this information with
the data collected from the environment. The objects and action are the affordances in this case and it is
received through 3D sensing. An essential ability of the robot to create such recipes is basically to
recognize the kind of action that is required. In this case there are two robots whose A and B that are used
to perform very specific tasks. This is rather a complex task. These robots use the knowledge of certain
sequences and actions to solve these specific problems( Cardarelli et al.2014).

METHODS AND DISCUSSION
QUESTION ONE
Robot A/B TIME
FREQUENCY UNITARY SUBTOTAL TOTAL PROCESSES
1XPick up
piece 2x2
1 1 1 8,5 1 process
1 operation
X1 Displace
piece to
position
1 2 2
1XPick up
piece 2X4
1 1.5 1.5
1X Displace
piece to
position
2 2 4
1X
Assembling
piece Lego
2 1 2
1X pick up
piece 2X2
1 1 1
1XDisplace
piece to
position
1 1 1
1XAssembling
piece Lego
2 1 2 4 1 process
1 operation
1X Pick up
eyes adhesive
2 1 2
1XDisplace
eyes to
position
1 2 2 3 1process
1 operation
1XAssembling
eyes
2 1 2 5 1process
1operation
1X Pick up
pallet
0.25 1 0.25
1XDisplace
pallet to
position
2 1 2
1XPick up
packing case
1 1 1
1XDisplace
packing case to
position
2 2
4
1XOpen and
prepare case
2 2 4
1XPut the case
on the pallet
1 1 1
1XAssembling 1 2 2 12.25 1process