"A robotics simulator is a simulator used to create an application for a physical robot without depending on the physical machine, thus saving cost and time."
Simulation tools used for testing and training robotics systems.
Kinematics: The study of motion without taking into account the forces that cause that motion. It deals with the mathematical description of movement.
Dynamics: The study of motion under the influence of forces (interaction between the robot and its environment). It deals with the mathematical description of how things move.
Robotics programming languages: The different programming languages you can use for robotics simulation.
Sensors and Actuators: Sensors that detect changes in the environment and actuators that perform a particular action.
Control systems: The programming of a robot to follow a certain path or achieve a specific task.
Robotics system integration: Incorporating different hardware and software components in a robotic system to achieve a given mission.
Machine learning for robotics: Incorporating artificial intelligence to enable the robots to make decisions and improve their performance.
Robotic vision: Systems that enable robots to see their environment and react to it.
Simulation software: Software that enables you to visualize, analyze and design robotic systems.
Robot manipulators and grippers: The hardware and software that enable a robot to interact with its environment.
Robotic path planning: Determining the most efficient path for a robot to follow to accomplish a task.
Robotics research: The different research areas in robotics, including mobile robotics, humanoid robotics, swarm robotics, and so on.
Robotics applications: The different practical applications of robotics, including manufacturing, healthcare, agriculture, and so on.
The impact of robotics on society: The impact of robotics on the economy, employment, and society as a whole.
Dynamic simulation: This simulation is used to study the movement of robots in a robotic system. It simulates the kinematics and dynamics of the robot motions.
Environmental simulation: Environmental simulation models the environment around the robotic system, including the interaction with objects and the physical world.
Human-robot interaction simulation: Human-robot interaction simulation evaluates the interaction between robots and humans. It helps to improve the design of robots for safe and efficient human interaction.
Task simulation: Task simulation is used to optimize the robotic system for a specific task. It simulates the task execution and evaluates the possible outcomes.
Control simulation: Control simulation tests the various control algorithms used in robotics. It evaluates the performance of the control system in different scenarios.
Software simulation: Software simulation is used to evaluate the software design of the robotic system. It helps to optimize the software for different requirements.
Hardware simulation: Hardware simulation simulates the physical components of the robotic system. It helps to optimize the hardware for better performance.
Sensor simulation: Sensor simulation is used to evaluate the sensors used in the robotic system. It helps to optimize the sensor performance for better sensing and perception.
Communication simulation: Communication simulation models the communication between different components of the robotic system. It helps to optimize the communication for better coordination and control.
Training simulation: Training simulation is used to train operators and technicians in the operation and maintenance of the robotic system. It simulates different scenarios and trains people to deal with them.
"In some cases, such applications can be transferred onto a physical robot (or rebuilt) without modification."
"In mobile robotics applications, behavior-based robotics simulators allow users to create simple worlds of rigid objects and light sources and to program robots to interact with these worlds."
"Behavior-based simulation allows for actions that are more biotic in nature when compared to simulators that are more binary, or computational."
"Behavior-based simulators may learn from mistakes and can demonstrate the anthropomorphic quality of tenacity."
"One of the most popular applications for robotics simulators is for 3D modeling and rendering of a robot and its environment."
"This type of robotics software has a simulator that is a virtual robot, which can emulate the motion of a physical robot in a real work envelope."
"Some robotics simulators use a physics engine for more realistic motion generation of the robot."
"The use of a robotics simulator to develop a robotics control program is highly recommended regardless of whether a physical robot is available or not."
"The simulator allows for robotics programs to be conveniently written and debugged off-line with the final version of the program tested on a physical robot."
"This applies mainly to industrial robotic applications, since the success of off-line programming depends on how similar the physical environment of a robot is to a simulated environment."
"Sensor-based robot actions are much more difficult to simulate and/or to program off-line, since the robot motion depends on instantaneous sensor readings in the real world."