Nonholonomic Robot

Nonholonomic robots, characterized by constraints on their movement (e.g., car-like robots unable to move sideways), are a focus of robotics research aiming to improve their navigation and control in complex environments. Current research emphasizes developing robust path planning algorithms, often employing techniques like model predictive control, control barrier functions, and vector field methods, to ensure safe and efficient navigation while adhering to the robots' kinematic limitations. These advancements are crucial for deploying nonholonomic robots in diverse applications, such as autonomous vehicles, multi-robot systems for object manipulation, and agricultural automation.