A robot is an embodied agent that can

potentially develop behavioural and cognitive skills by relying on the input

provided by their sensors and a fitness (or reward) function.

A Robot is an embodied agent that can

integrate information over time and store in the body or in the relation

between their body and the environment. 

A robot is an AI agent where internal

layers of a  ANNs /  Deep learning architecture represents the

only way to extract features.

A robot is a particular AI agent that

can only use features extracted through actions with the external

environment. 

B because there is no instrument without error however small,

and at all times there will be an estimation error from localisation, an

estimation error of the landmarks and an error in the robot’s controls.

B because even if assuming a perfect ego-estimate of the

robot’s location, there can still be an

A because using a GPS we can precisely estimate the position

of the robot and we know where the robot is located at all times.

Either A or B, depending on the circumstances in the

environment.

The uncanny valley is the term

that describes the sense of pleasure that humans experience when they encounter

a robot with certain human-like characteristics.

The Chinese room experiment shows

that two systems can speak Chinese without a real understanding of the

language.

The Chinese room experiment is

used to detect if humans feel a sense of pleasure or discomfort when they talk

to a robot with certain human-like characteristics.

The Chinese room experiment can

prove the ability to train a conversational robot from scratch to understand

the language. Understanding of the language is demonstrated with the correct

answer of the robot to an input message.

The volume area between a minimum reach and a maximum reach

where the manipulator can move.

The set of all end point positions in the space that are

reachable by the end-effector.

The set of angles in which each joint should be to move the

manipulator and the end-effector to the desired location.

An example of a robot’s joint space represented as the angles

or values  

It can be used to trigger an event.

It is a two-way communication between any two nodes in the ROS

system.

Can be sent from many nodes to many other nodes.

Involves the communication only between Publisher and

Subscriber nodes

Estimating the landmarks given the robot’s poses, which means

that we know where the robot is, but not what the environment looks like.

1 and 2

Determine the pose of the landmarks and the robot given a

perfect ego estimate of the robot’s position, and a sequence of measurements

from the environment.

Estimating the robot’s pose given landmarks, which means that we

know what the environment looks like, but not where the robot is.

Manipulation planning refers to planning a suitable way in

which the manipulator can grasp an object in the workspace.

If I know the coordinate in the workspace of the manipulator

that I want the end-effector to reach, I need to calculate the joint angles to

get there with inverse kinematics.

If I know the configuration of the arm and want to calculate

the coordinates in the jointspace, I need to apply forward kinematics.

Kinematics deals with the study of motion of the arm based on

geometric description considering the forces acting on the robot structure that

cause the motion.

The volume area between a minimum reach and a maximum reach

where the manipulator can move.

The set of all end point positions in the space that are

reachable by the end-effector.

The set of angles in which each joint should be to move the

manipulator and the end-effector to the desired location.

The space described with the angles/values of the joint 

 to control the trajectory

of the arm.