Robot control using gestures

1. A method of operating a robot, comprising:

acquiring information of a first gesture from a group of gestures, each gesture from the group of gestures corresponding to an operation instruction from a group of operation instructions;

obtaining, based on the acquired information of the first gesture, a first operation instruction from the group of operation instructions, the first operation instruction corresponding to the first gesture; and

executing the first operation instruction;

wherein acquiring the information of the first gesture comprises:

capturing an image using a camera;

identifying a Region Of Interest (ROI) from the captured image;

determining whether the ROI includes an operator of the robot; and

acquiring, using the captured image, the information of the first gesture after it is determined that the ROI includes the operator.

2. The method according to claim 1 , wherein determining whether the ROI includes the operator comprises:

calculating a similarity between face feature information of the ROI and pre-configured face feature information of the operator; and

determining that the ROI includes the operator when the calculated similarity is greater than a predetermined threshold.

3. The method according to claim 1 , wherein the image is a first image, the method further comprises capturing a second image using the camera, the determining whether the ROI includes the operator comprises:

acquiring, based on the second image, information of a second gesture;

determining whether the second gesture matches a pre-configured gesture password; and

determining that the ROI of the first image includes the operator when the second gesture matches the pre-configured gesture password.

4. The method according to claim 3 , wherein the pre-configured gesture password is associated with a posture or gesture of the operator, the method further comprises:

executing the first operation instruction from the group of operation instructions when the second gesture matches the pre-configured gesture password.

5. The method according to claim 1 , wherein acquiring the information of the first gesture comprises:

identifying, from the captured image, a region associated with the operator;

analyzing the identified region to obtain a first feature vector;

calculating, for each gesture from the group of gestures, a similarity between the first feature vector and a feature vector of that gesture; and

selecting the gesture having the highest similarity as the first gesture to be acquired.

6. The method according to claim 1 , wherein

the first gesture is a static gesture; and

the information of the first gesture comprises information of a status of a limb.

7. The method according to claim 1 , wherein

the first gesture is a dynamic gesture; and

the information of the first gesture comprises information of a movement of a limb.

8. A robot, comprising:

a processor; and

a non-transitory storage medium storing machine-executable instructions,

wherein by executing the machine-executable instructions, the processor is caused to:

acquire information of a first gesture from a group of gestures, each gesture from the group of gestures corresponding to an operation instruction from a group of operation instructions;

obtain, based on the acquired information of the first gesture, a first operation instruction from the group of operation instructions, the first operation instruction corresponding to the first gesture; and

execute the first operation instruction;

wherein when the processor is caused to acquire the information of the first gesture, the machine-executable instructions further cause the processor to:

capture an image using a camera;

identify a Region Of Interest (ROI) from the captured image;

determine whether the ROI includes an operator of the robot; and

acquire, using the captured image, the information of the first gesture after it is determined that the ROI includes the operator.

9. The method according to claim 1 , wherein the group of operation instructions comprise an action instruction, a photographing instruction, an automatic-charging instruction, a return-to-origin instruction, a take-off instruction, and a landing instruction.

10. The robot according to claim 8 , wherein when the processor is caused to determine whether the ROI includes the operator, the machine-executable instructions further cause the processor to:

calculate a similarity between face feature information of the ROI and pre-configured face feature information of the operator; and

determine that the ROI includes the operator when the calculated similarity is greater than a predetermined threshold.

11. The robot according to claim 8 , wherein the image is a first image, when the processor is caused to determine whether the ROI includes the operator, the machine-executable instructions further cause the processor to:

capture a second image using the camera;

acquire, based on the second image, information of a second gesture;

determine whether the second gesture matches a pre-configured gesture password; and

determine that the ROI of the first image includes the operator when the second gesture matches the pre-configured gesture password.

12. The robot according to claim 11 , wherein the pre-configured gesture password includes a posture or gesture of the operator, the machine-executable instructions further cause the processor to:

execute the first operation instruction from the group of operation instructions when the second gesture matches the pre-configured gesture password.

13. The robot according to claim 8 , wherein when the processor is caused to acquire the information of the first gesture, the machine-executable instructions further cause the processor to:

identify, from the captured image, a region associated with the operator;

analyze the identified region to obtain a first feature vector;

calculate, for each gesture from the group of gestures, a similarity between the first feature vector and a feature vector of that gesture; and

select the gesture having the highest similarity as the first gesture to be acquired.

14. The robot according to claim 8 , wherein

the first gesture is a static gesture; and

the information of the first gesture comprises information of a status of a limb.

15. The robot according to claim 8 , wherein

the first gesture is a dynamic gesture; and

the information of the first gesture comprises information of a movement of a limb.

16. The robot according to claim 8 , wherein the group of operation instructions comprise an action instruction, a photographing instruction, an automatic-charging instruction, a return-to-origin instruction, a take-off instruction, and a landing instruction.

17. An apparatus for operating a robot, comprising:

a processor; and

a non-transitory storage medium storing machine-executable instructions,

wherein by executing the machine-executable instructions, the processor is caused to:

receive an image captured using a camera of the robot;

acquire, based on the received image, information of a first gesture from a group of gestures, each gesture from the group of gestures corresponding to an operation instruction from a group of operation instructions;

obtain, based on the acquired information of the first gesture, a first operation instruction from the group of operation instructions, the first operation instruction corresponding to the first gesture; and

transmit the first operation instruction to the robot such that the robot executes the first operation instruction;

wherein when the processor is caused to acquire the information of the first gesture, the machine-executable instructions further cause the processor to:

capture an image using a camera;

identify a Region Of Interest (ROI) from the captured image;

determine whether the ROI includes an operator of the robot; and

acquire, using the captured image, the information of the first gesture after it is determined that the ROI includes the operator.

18. A method of operating a robot, comprising:

receiving, at a server, an image captured using a camera of the robot;

acquiring, at the server and based on the received image, information of a first gesture from a group of gestures, each gesture from the group of gestures corresponding to an operation instruction from a group of operation instructions;

obtaining, at the server and based on the acquired information of the first gesture, a first operation instruction from the group of operation instructions, the first operation instruction corresponding to the first gesture; and

transmitting, from the server to the robot, the first operation instruction such that the robot executes the first operation instruction;

wherein acquiring the information of the first gesture comprises:

capturing an image using a camera;

identifying a Region Of Interest (ROI) from the captured image;

determining whether the ROI includes an operator of the robot; and

acquiring, using the captured image, the information of the first gesture after it is determined that the ROI includes the operator.