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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. This technology plays a pivotal role in various fields, including industrial automation ...
23. Nov. 2022 · Erfahre, was Obstacle Avoidance ist und wie sie in Saugrobotern funktioniert. Vergleiche verschiedene Techniken wie Kreuzlaser, 3D-Kamera und Farbsensor.
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Learn about different approaches and methods for obstacle avoidance in robotics, wheelchairs and navigation. Explore chapters and articles from various books and journals on ScienceDirect Topics.
A comprehensive overview of the research and methods for motion planning and obstacle avoidance for mobile robots. Learn about the modeling, algorithms, and challenges of nonholonomic systems, sensor-based navigation, and hybrid approaches.
6. Okt. 2021 · This article proposes a framework for decentralized collision avoidance using reinforcement learning and a path planner. The method can learn from empirical information and avoid various dynamic obstacles with irregular movements in a virtual and real environment.
- Jaewan Choi, Geonhee Lee, Chibum Lee
- 2021
1. Okt. 2021 · Obstacle avoidance is a significant skill not only for mobile robots but also for robot manipulators working in unstructured environments. Various algorithms have been proposed to solve off-line planning and on-line adaption problems. However, it is still not able to ensure safety and flexibility in complex scenarios.
Reinforcement learning has emerged as a prominent technique for enhancing robot obstacle avoidance capabilities in recent years. This research provides a compre.