| Issue |
ITM Web Conf.
Volume 80, 2025
2025 2nd International Conference on Advanced Computer Applications and Artificial Intelligence (ACAAI 2025)
|
|
|---|---|---|
| Article Number | 03015 | |
| Number of page(s) | 5 | |
| Section | Robotics, Autonomous Systems & Sensor Fusion | |
| DOI | https://doi.org/10.1051/itmconf/20258003015 | |
| Published online | 16 December 2025 | |
The discussion of disadvantages of recent robot learning methods and possible solutions
Datong High School, Shanghai, 200400, China
* Corresponding author: gongshuisantsuye@gmail.com
Nowadays, robots have been greatly developed by scientists and robotic experts, especially these operating and coding methods. They are now an important part of the whole society, providing much productivity for human being. However, there are also some obstacles that have not been fully overcome, including unsatisfying database quality, ineffectiveness of AI self-learning, etc. These problems can be categorized into two types: the kinematic problems and AI’s problems. The former includes difficulties in calculations and singularity points, and the latter includes AI’s lack of some certain types of abilities. This essay will focus on some of these obstacles that most robotics industry practitioner and experts are facing, and figuring whether there are some possible solutions. This essay will firstly introduce a strawberry harvester robot project that I’ve participated in and been responsible for its coding works and operating method construction, discuss some of its disadvantages, and then lead to the discussion of common problems across the industry. These problems can be categorized into two types: the kinematic problems and AI’s problems. The former includes difficulties in calculations and singularity points, and the latter includes AI’s lack of some certain types of abilities.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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