  Trajectory Planning is a crucial word in Modern & Advanced Robotics. It's a
way of generating a smooth and feasible path for the robot to follow over time.
The process primarily takes several factors to generate the path, such as
velocity, acceleration and jerk. The process deals with how the robot can
follow a desired motion path in a suitable environment. This trajectory
planning is extensively used in Automobile Industrial Robot, Manipulators, and
Mobile Robots. Trajectory planning is a fundamental component of motion control
systems. To perform tasks like pick and place operations, assembly, welding,
painting, path following, and obstacle avoidance. This paper introduces a
comparative analysis of trajectory planning algorithms and their key software
elements working strategy in complex and dynamic environments. Adaptability and
real-time analysis are the most common problems in trajectory planning. The
paper primarily focuses on getting a better understanding of these
unpredictable environments.
