Obstacle avoidance, in robotics, is a critical aspect of autonomous navigation and control systems. It is the capability of a robot or an autonomous system/machine to detect and circumvent obstacles in its path to reach a predefined destination.

2003年1月6日 · This paper presents a unique real-time obstacle avoidance approach for manipulators and mobile robots based on the "artificial potential field" concept.

2024年6月1日 · This article provides an overview of key obstacle avoidance algorithms, including classic techniques such as the Bug algorithm and Dijkstra’s algorithm, and newer developments like genetic algorithms and approaches based on neural networks.

2019年3月18日 · In this paper, the modified artificial potential field (APF) method is proposed for that robot avoids collision with fixed obstacles and reaches the target in an optimal path; using this algorithm, the robot can run to the target in optimal environments without any problems by avoiding obstacles, and also using this algorithm, unlike the APF ...

Obstacle avoidance is the ability to avoid collisions with obstacles in the task space of the mobile robot.

2 天之前 · Learn about robot obstacle avoidance, key technologies, AI-driven solutions, and future trends for seamless autonomous navigation and safety.

This paper presents an obstacle avoidance algorithm for low speed autonomous vehicles (AV), with guaranteed safety. fashion with any lower-level navigation algorithm. When the risk of …

2023年10月5日 · AMRs avoid obstacles in a way that is superior in providing unmatched autonomy. They are much more equipped to function without assistance, giving floor …

These techniques address the obstacle avoidance problem, taking into account the vehicle constraints by breaking down this problem into subproblems: (i) obstacle avoidance, (ii) kinematics and dynamics, and (iii) shape.

4 天之前 · Then, an obstacle filtering method utilizing sensor information and trajectory prediction results is applied for wiping off collision-free targets. Afterwards, by employing APF method combining with avoidance strategies based on virtual forces and window-based collision detection, the potential pushing effect caused by multiple OVs is mitigated.