Exoskeleton system to provide assistance for users performing activities

1 . A computer-implemented method for assisting users with physical activities by using one or more exoskeleton suits, the computer-implemented method comprising:

receiving, by one or more processors, a plurality of data from a user and devices;

analyzing, by the one or more processors, one or more problems associated with the plurality of data;

determining, by the one or more processors, one or more solutions for the one or more problems based on the analysis, further comprising:

identifying one or more capabilities and constraints of devices;

saving data points of the one or more capabilities and constraints as one or more vectors;

identifying a group objective function based on the one or more vectors in order to optimize the data points;

setting local and group optima for the group objective function;

optimizing the group objective function until a threshold criteria has been met; and

identifying an optimal solution after meeting the threshold criteria;

identifying, by the one or more processors, an optimal solution from the one or more solutions;

instructing, by the one or more processors, the one or more exoskeleton suits with the optimal solution, wherein the user wears the one or more exoskeleton suits; and

performing the instructions, by the one or more exoskeleton suits, based on the optimal solution.

2 . The computer-implemented method of claim 1 , wherein receiving a plurality of data from a user, wherein the plurality of data comprises one or more of, environmental data, user data and exoskeleton data.

3 . The computer-implemented method of claim 1 , wherein the analysis is performed by a CPS (central platform service).

4 . The computer-implemented method of claim 1 , wherein instructing the one or more exoskeleton suits with the one or more solutions:

converting the one or more solutions into actional instructions set; and

sending an actional instruction set to the one or more exoskeleton suits.

5 . The computer-implemented method of claim 3 , wherein the CPS comprises one or more of components, data intelligence bot, service actuator, service optimizer, service monitor, KB database and exoskeleton actuator.

6 . The computer-implemented method of claim 5 , wherein the analysis comprises:

identifying, by one or more bots, one or more services based on the plurality of data;

searching, by one or more bots, through the KB database by one or more bots belonging to the data intelligence bot;

generating, by one or more bots, one or more instruction sets, wherein the one or more instruction sets includes an overall goal set and an individual priority set;

determining, by one or more bots, an optimal solution based on the one or more instruction sets; and

generating, by one or more bots, a final execution order set based on the optimal solution.

7 . A computer program product for assisting users with physical activities by using one or more exoskeleton suits, the computer program product including one or more non-transitory computer-readable storage media having computer-readable program instructions stored on the one or more non-transitory computer-readable storage media, said program instructions when executed on a processor, executes a computer-implemented method comprising the steps of:

receiving a plurality of data from a user;

analyzing one or more problems associated with the plurality of data;

determining one or more optimal solutions for the one or more problems based on the analysis further comprising:

identifying one or more capabilities and constraints of devices;

saving data points of the one or more capabilities and constraints as one or more vectors;

identifying a group objective function based on the one or more vectors in order to optimize the data points;

setting local and group optima for the group objective function;

optimizing the group objective function until a threshold criteria has been met; and

identifying an optimal solution after meeting the threshold criteria;

instructing one or more exoskeleton suits with one or more solutions, wherein the user wears the one or more exoskeleton suits; and

performing the instructions, by the one or more exoskeleton suits, based on the one or more solutions.

8 . The computer program product of claim 7 , wherein receiving a plurality of data from a user, wherein the plurality of data comprises one or more of, environmental data, user data and exoskeleton data.

9 . The computer program product of claim 7 , wherein the analysis is performed by a CPS (central platform service).

10 . The computer program product of claim 7 , wherein instructing the one or more exoskeleton suits with the one or more solutions:

converting the one or more solutions into actional instructions set; and

sending the actional instructions set to the one or more exoskeleton suits.

11 . The computer program product of claim 9 , wherein the CPS comprises one or more of components, data intelligence bot, service actuator, service optimizer, service monitor, KB database and exoskeleton actuator.

12 . The computer program product of claim 11 , wherein the analysis comprises:

identifying, by one or more bots, one or more services based on the plurality of data;

searching, by one or more bots, through the KB database by one or more bots belonging to the data intelligence bot;

generating, by one or more bots, one or more instruction sets, wherein the one or more instruction sets includes an overall goal set and an individual priority set;

determining, by one or more bots, an optimal solution based on the one or more instruction sets; and

generating, by one or more bots, a final execution order set based on the optimal solution.

13 . A computer system for assisting users with physical activities by using one or more exoskeleton suits, the computer system comprising:

one or more computer processors; and

one or more computer readable storage media having computer-readable program instructions stored on the one or more computer readable storage media, said program instructions executes, by the one or more computer processors, a computer-implemented method comprising the steps of:

receiving a plurality of data from a user;

analyzing one or more problems associated with the plurality of data;

determining one or more optimal solutions for the one or more problems based on the analysis further comprising:

identifying one or more capabilities and constraints of devices;

saving data points of the one or more capabilities and constraints as one or more vectors;

identifying a group objective function based on the one or more vectors in order to optimize the data points;

setting local and group optima for the group objective function;

optimizing the group objective function until a threshold criteria has been met; and

identifying an optimal solution after meeting the threshold criteria;

instructing the one or more exoskeleton suits with the one or more solutions, wherein the user wears the one or more exoskeleton suits; and

performing the instructions, by the one or more exoskeleton suits, based on one or more solutions.

14 . The computer system of claim 13 , wherein the analysis is performed by a CPS (central platform service).

15 . The computer system of claim 13 , wherein instructing the one or more exoskeleton suits with the one or more solutions:

converting the one or more solutions into actional instructions set; and

sending the actional instructions set to the one or more exoskeleton suits.

16 . The computer system of claim 14 , wherein the CPS comprises one or more of components, data intelligence bot, service actuator, service optimizer, service monitor, KB database and exoskeleton actuator.

17 . The computer system of claim 16 , wherein the analysis comprises:

identifying, by one or more bots, one or more services based on the plurality of data;

searching, by one or more bots, through the KB database by one or more bots belonging to the data intelligence bot component;

generating, by one or more bots, one or more instruction sets, wherein the one or more instruction sets includes an overall goal set and an individual priority set;

determining, by one or more bots, an optimal solution based on the one or more instruction sets; and

generating, by one or more bots, a final execution order set based on the optimal solution.