Hadianto K. Dewoto

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About

Hadianto K. Dewoto is a researcher in biomedical engineering and human-machine interaction, with a focus on assistive robotics and neural network-based control systems. His most-cited work, "Speech control of robotic hand augmented with 3D animation using neural network" (2016), presents a novel system that integrates speech recognition with robotic hand control, enhanced by real-time 3D animation feedback. By employing artificial neural networks with tansig and softmax transfer functions, along with stream processing methods, Dewoto achieved robust speech-to-motion translation, enabling intuitive, hands-free operation of prosthetic or robotic devices. This contribution has garnered 6 citations, reflecting its relevance in the growing field of brain-computer interfaces and assistive technology. Dewoto’s work bridges the gap between natural language processing and robotic actuation, offering a scalable framework for developing more accessible and responsive assistive devices. His research holds promise for improving the quality of life for individuals with motor impairments, and his integration of 3D animation provides a visual interface that enhances user training and system transparency. Dewoto continues to explore the intersection of artificial intelligence and robotics, aiming to create smarter, more adaptive human-machine systems.