Genetically Optimized Fuzzy Logic Controller Reduces Robotic Arm Tracking Error by 89%
- Published
- Source
- TechXplore:Robotics
A new genetically optimized fuzzy logic controller for robotic arms has been detailed in the International Journal of Automation and Control. This innovative system significantly enhances the accuracy and resilience of a three-degree-of-freedom robotic arm during simulations, achieving an impressive reduction in tracking error by 89%.
The advancements in this fuzzy logic controller are particularly noteworthy as it demonstrates superior performance compared to traditional control systems, especially when the robotic arm faces disturbances and variations in system parameters. This improvement is crucial for applications requiring high precision and adaptability in dynamic environments.
The genetically optimized fuzzy logic controller represents a significant milestone in robotic control technology, showcasing its potential for real-world applications. Further research and testing will be essential to validate its effectiveness in practical scenarios beyond simulations, ensuring reliability in various operational conditions.
Original report
Optimized fuzzy logic controller cuts average robotic arm tracking error by 89% in simulations
TechXplore:RoboticsThis briefing is an independently written summary based on publicly available reporting and is provided for industry information and news discovery. The original report and source publication are credited and linked where applicable. RobotToday does not claim ownership of third-party source material.
Rights concerns? Contact [email protected] with the relevant URL and details. We will review the matter and take appropriate action where warranted.
More related news
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9
- 10
- 11
- 12
Related Suppliers
Target Arm
United States
New Milford, Connecticut maker of Ralar robotic arms that catch, recharge and relaunch drones from moving vehicles; holds a USD 2M U.S. Army SBIR contract.
InspeCity Space Laboratories Pvt. Ltd.
India
Thane, India start-up (est. 2022) building VEDA, an autonomous life-extension servicer with its RAMA robotic arm, CHAKSU AI tracker and SPARSH docking port.
Casun Intelligent Robot Co., Ltd. 佳顺智能机器人股份有限公司
China
Chinese AGV manufacturer founded 2007; C1-C5 latent, tugger, pallet and forked AGV families plus fleet dispatch software
Beijing Jingpin Tezhuang Science and Technology Co., Ltd. 北京晶品特装科技股份有限公司
China
Beijing-listed (SSE: 688084) maker of electro-optical reconnaissance gear and military robots, including EOD and NBC-detection UGVs, since 2009.
CynLr
India
Bengaluru deep-tech company with visual object intelligence platform enabling robots to pick unknown objects in unstructured environments without pre-training.
Fuzzy Logic Robotics
France
French industrial robot software startup founded 2018 in Paris; Fuzzy Studio enables no-code programming and real-time control across major robot brands.
Metalware
United States
San Francisco firmware security startup (YC W24) offering automated binary fuzzing to detect vulnerabilities in embedded device firmware.
Herdsman
United States
Swine management software platform for pork producers enabling herd data collection, reporting, and proprietary genetic line development.
Formicum 3D-Service GmbH
Germany
Leipzig 3D printing service bureau that builds the BFP-1 large-format pellet printer and refurbishes and services Mcor IRIS paper 3D printers.
SYNTEC TECHNOLOGY CO., LTD.
Taiwan
Taiwan maker of PC-based CNC and robot controllers for machine tools and factory automation, founded 1995 in Hsinchu; listed OTC (7750).
RoboLink
United States
Free Android app to wirelessly control Arduino robots via Wi-Fi (UDP) or Bluetooth with a customizable drag-and-drop controller interface.
ACS Allen Control Systems
United States
Defense robotics startup building the Bullfrog autonomous gun turret that uses AI vision and passive sensing to shoot down drones.
Robotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
Join the RobotToday community on LinkedIn
Daily robotics news, in-depth analysis, conference highlights, and discussions with professionals worldwide.
