Robotics Technical Glossary - Comprehensive Terminology Guide | BotInfo.ai

Robotics Technical Glossary

Comprehensive definitions of key robotics terms for engineers, researchers, and technical professionals. Each term includes practical applications, related concepts, and detailed technical diagrams.

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A - Robotics Terms

Actuator

Hardware
A device that converts energy (typically electrical, hydraulic, or pneumatic) into mechanical motion. In robotics, actuators are responsible for moving joints and limbs.
Applications: Joint control in humanoid robots, gripper operation, mobility systems.
Actuator System Diagram showing electric motor, gear reduction, and control components
Electric actuator system with motor, gear reduction, and control components

Autonomous Navigation

AI & Control
The ability of a robot to navigate through an environment without human intervention, using sensors and algorithms to perceive surroundings and plan paths.
Applications: Warehouse logistics, search and rescue operations, domestic service robots.

B - Robotics Terms

Bipedal Locomotion

Mobility
The ability to walk on two legs, a fundamental capability for humanoid robots. This involves complex balance control and gait generation.
Applications: Humanoid robot mobility, stair climbing, uneven terrain navigation.
Bipedal Gait Cycle Diagram showing walking phases and stability indicators
Complete bipedal gait cycle showing phases and stability indicators

C - Robotics Terms

Computer Vision

Sensing & Perception
A field of artificial intelligence that enables machines to interpret and understand visual information from the world, typically using cameras and image processing algorithms.
Applications: Object recognition, facial recognition, gesture interpretation, navigation.

Control System

Systems & Control
A system that manages, commands, directs, or regulates the behavior of other devices or systems using control loops. In robotics, this includes everything from low-level motor control to high-level task planning.
Applications: Motion control, stability maintenance, task execution in autonomous systems.
Control System Hierarchy diagram showing layered architecture
Layered control system architecture for robotic systems

K - Robotics Terms

Kinematics

Theory & Mathematics
The study of motion without considering the forces that cause it. In robotics, kinematics describes the geometric relationships between robot links and joints to determine end-effector position and orientation.
Applications: Robot motion planning, inverse kinematics solutions, workspace analysis.
Robot Kinematics Diagram showing forward and inverse kinematics
Forward and inverse kinematics for multi-joint robotic systems

R - Robotics Terms

ROS (Robot Operating System)

Software & Framework
A flexible framework for writing robot software. It provides services similar to an operating system, including hardware abstraction, low-level device control, message-passing between processes, and package management.
Applications: Standardized robotics development, research prototyping, industrial robot programming.
ROS Architecture Overview diagram
ROS architecture showing nodes, topics, and communication patterns

S - Robotics Terms

Sensor Fusion

Sensing & Perception
The process of combining sensory data or data derived from disparate sources such that the resulting information has less uncertainty than would be possible when these sources were used individually.
Applications: Autonomous navigation, environmental mapping, object tracking, state estimation.
Sensor Fusion Architecture diagram
Multi-sensor fusion system integrating LiDAR, vision, and inertial data

SLAM (Simultaneous Localization and Mapping)

Navigation & Perception
A computational problem of constructing or updating a map of an unknown environment while simultaneously keeping track of an agent's location within it.
Applications: Autonomous vehicles, robotic exploration, indoor navigation systems.

H - Robotics Terms

Human-Robot Interaction (HRI)

Interaction & Interface
The study of interactions between humans and robots. HRI involves the design, implementation, and evaluation of robotic systems that work in close proximity with humans or are directly operated by them.
Applications: Collaborative robotics, social robots, teleoperation interfaces, assistive technologies.
Human-Robot Interaction Framework diagram
HRI framework showing perception, decision, and action components

Frequently Asked Questions About Robotics

What's the difference between robotics and automation? +

Robotics involves machines that can perceive, reason, and act physically in the world, often with some level of autonomy. Automation refers to technology that performs predetermined tasks with minimal human intervention. All robots are automated systems, but not all automated systems are robots.

How do humanoid robots maintain balance while walking? +

Humanoid robots use sophisticated balance control algorithms like Zero Moment Point (ZMP) theory, which ensures the robot's center of mass stays within its support polygon. They combine inertial measurement units (IMUs), force sensors in the feet, and real-time control systems to make constant adjustments to joint angles and step placement.

What programming languages are most commonly used in robotics? +

The most common programming languages in robotics are C++ for performance-critical components, Python for high-level control and AI applications, and MATLAB for research and prototyping. ROS (Robot Operating System) provides a framework that supports multiple languages for different components of a robotic system.

How does sensor fusion improve robot perception? +

Sensor fusion combines data from multiple sensors (cameras, LiDAR, IMUs, etc.) to create a more accurate and reliable perception of the environment. It compensates for individual sensor limitations - for example, combining camera data (rich visual information but affected by lighting) with LiDAR (precise distance measurements but limited detail) to create a comprehensive environmental model.

What safety standards apply to industrial robots? +

Key safety standards include ISO 10218 (industrial robot safety), ISO/TS 15066 (collaborative robot safety), and ANSI/RIA R15.06. These standards cover risk assessment, safety-rated hardware, emergency stops, and requirements for collaborative workspaces where humans and robots interact directly.

How is AI used in modern robotics systems? +

AI enhances robotics through machine learning for object recognition, reinforcement learning for skill acquisition, computer vision for environmental understanding, natural language processing for human-robot interaction, and predictive maintenance algorithms. Deep learning enables robots to handle unstructured environments and learn from experience rather than relying solely on pre-programmed behaviors.