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Obstacle Avoidance and Path Planning Methods for Autonomous Navigation of Mobile Robot

122
Citations
June 1, 2024
Published Date

Research Abstract & Technology Focus

Path planning creates the shortest path from the source to the destination based on sensory information obtained from the environment. Within path planning, obstacle avoidance is a crucial task in robotics, as the autonomous operation of robots needs to reach their destination without collisions. Obstacle avoidance algorithms play a key role in robotics and autonomous vehicles. These algorithms enable robots to navigate their environment efficiently, minimizing the risk of collisions and safely avoiding obstacles. 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. It analyzes in detail the advantages, limitations, and application areas of these algorithms and highlights current research directions in obstacle avoidance robotics. This article aims to provide comprehensive insight into the current state and prospects of obstacle avoidance algorithms in robotics applications. It also mentions the use of predictive methods and deep learning strategies.
obstacle avoidance planning methods autonomous navigation
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Frequently Asked Questions (FAQ)

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What is the core focus of the research titled 'Obstacle Avoidance and Path Planning Methods for Autonomous Navigation of Mobile Robot'?

This literature focuses on: Path planning creates the shortest path from the source to the destination based on sensory information obtained from the environment. Within path planning, obstacle avoidance is a crucial task in robotics, as the autonomous operation of robots ne...

Are there open-source GitHub repositories related to Obstacle Avoidance and Path Planning Methods for Autonomous Navigation of Mobile Robot?

Yes, open-source projects like code-yeongyu/lazycodex (The one and only agent harness for complex codebases. Project memory, planning, execution, and verified completion inside Codex.) are actively building upon these concepts.

Which startups are commercializing the technology behind Obstacle Avoidance and Path Planning Methods for Autonomous Navigation of Mobile Robot?

Products like Invoke are bringing this to market. Their focus is: Agentic coding IDE with visual planning boards and canvas.

What other academic literature is closely related to 'Obstacle Avoidance and Path Planning Methods for Autonomous Navigation of Mobile Robot'?

Yes, highly correlated activity was mapped. An entry titled 'Obstacle Avoidance and Path Planning Methods for Autonomous Navigation of Mobile Robot' discusses this: Path planning creates the shortest path from the source to the destination based on sensory information obtained from the environment. Within path ...

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Commercial Realization

Startups and Open Source tools heavily associated with the concepts explored in this paper.

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