Design of a six wheel suspension and a three-axis linear actuation mechanism for a laser weeding robot
- URL: http://arxiv.org/abs/2512.10319v1
- Date: Thu, 11 Dec 2025 06:11:05 GMT
- Title: Design of a six wheel suspension and a three-axis linear actuation mechanism for a laser weeding robot
- Authors: Muhammad Usama, Muhammad Ibrahim Khan, Ahmad Hasan, Muhammad Shaaf Nadeem, Khawaja Fahad Iqbal, Jawad Aslam, Mian Ashfaq Ali, Asad Nisar Awan,
- Abstract summary: We present an autonomous weeding robot that uses controlled exposure to a low energy laser beam for weed removal.<n>The robot achieves a weed detection rate of 86.2% and operating time of 87 seconds per meter.<n>This combination of speed, accuracy, and efficiency highlights the robot's potential for significantly enhancing precision farming practices.
- Score: 2.1745545334598657
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Mobile robots are increasingly utilized in agriculture to automate labor-intensive tasks such as weeding, sowing, harvesting and soil analysis. Recently, agricultural robots have been developed to detect and remove weeds using mechanical tools or precise herbicide sprays. Mechanical weeding is inefficient over large fields, and herbicides harm the soil ecosystem. Laser weeding with mobile robots has emerged as a sustainable alternative in precision farming. In this paper, we present an autonomous weeding robot that uses controlled exposure to a low energy laser beam for weed removal. The proposed robot is six-wheeled with a novel double four-bar suspension for higher stability. The laser is guided towards the detected weeds by a three-dimensional linear actuation mechanism. Field tests have demonstrated the robot's capability to navigate agricultural terrains effectively by overcoming obstacles up to 15 cm in height. At an optimal speed of 42.5 cm/s, the robot achieves a weed detection rate of 86.2\% and operating time of 87 seconds per meter. The laser actuation mechanism maintains a minimal mean positional error of 1.54 mm, combined with a high hit rate of 97\%, ensuring effective and accurate weed removal. This combination of speed, accuracy, and efficiency highlights the robot's potential for significantly enhancing precision farming practices.
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