Ali Rizal Chaidir
Papers
8
Total Citations
31
H-Index
4
About
Ali Rizal Chaidir is a robotics researcher whose work centers on intelligent robotic systems, computer vision, and human-robot interaction. His major contributions lie in developing robotic platforms that can perceive and respond to their environment, with a strong emphasis on practical applications in hazardous environments, industry, and healthcare. His most cited work, "Design of a gripping imitator robotic arm for taking an object" (6 citations), demonstrates a remote-controlled robotic arm that mimics human hand movements for dangerous tasks. He has also advanced mobile robot navigation through lane tracking and line landmark detection using image processing and Braitenberg controllers (6 and 3 citations, respectively). Notably, Chaidir explores intuitive control interfaces, such as finger gesture recognition for commanding robot arms (4 citations) and non-holonomic mobile robots (2 citations). His research extends to healthcare, where he applies Extreme Learning Machines to forecast hand motion strength for post-stroke rehabilitation (2 citations). With a consistent track record of integrating machine vision and control systems, Chaidir’s work contributes to safer, more accessible robotic technologies for real-world challenges.
Research Focus
Key Achievements
Top Papers
- 1Design of a gripping imitator robotic arm for taking an object6 citations · 2016
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- 3Lane Tracking pada Robot Beroda Holonomic menggunakan Pengolahan Citra6 citations · 2020
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