Pathfinding is the computational process of finding the shortest or most efficient route between two points, often used in AI, robotics, and video games to navigate through complex environments. It involves algorithms that consider various factors such as obstacles, terrain, and cost to determine optimal paths.

Pathfinding

computational process

Shortest route

most efficient route

two points

AI, or artificial intelligence, is like a super-smart robot brain that helps computers learn and solve problems, just like how we learn new things at school. It can do things like recognize pictures, understand words, and even play games with us.

Robotics is an interdisciplinary field that integrates computer science and engineering to design, construct, and operate robots, which are machines capable of performing tasks autonomously or semi-autonomously. The field aims to enhance efficiency and precision in various applications, from manufacturing and healthcare to exploration and personal assistance.

robotics

video games

navigate through complex environments

Algorithms are step-by-step procedures or formulas for solving problems or performing tasks, and are fundamental to computer science and artificial intelligence. They optimize processes by providing clear instructions that can be executed by machines to achieve desired outcomes efficiently and effectively.

algorithms

Obstacles are barriers or challenges that impede progress toward a goal, requiring individuals or groups to develop strategies to overcome them. They are essential for growth and learning, as they encourage problem-solving and resilience in the face of adversity.

obstacles

Terrain is the shape of the land, like hills, valleys, and flat areas, and it can change how people and animals live and move around. It also affects the weather and where plants can grow because some plants need flat land while others grow better on hills.

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