Papers
41
Total Citations
767
H-Index
16
About
Carlos Soria is a prominent robotics and control systems researcher whose work spans intelligent control, autonomous navigation, and assistive robotics. His research has made substantial contributions to the development of adaptive and neural network-based control strategies, particularly for mobile robots and robotic manipulators. Soria has pioneered the integration of sliding mode control with neural network architectures, producing robust controllers capable of handling nonlinear and uncertain system dynamics — work reflected in his highly cited studies on neuro-adaptive control for mobile robots and SCARA robot arms. His contributions to assistive technology are equally notable; his development of a modality-independent robotic wheelchair interface (75 citations) and SLAM-based navigation systems for unknown environments demonstrate a sustained commitment to improving autonomy and accessibility for people with disabilities. His work on EMG-based myoelectric control (51 citations) further showcases his interdisciplinary reach into human-machine interaction and biomedical robotics. With a body of work accumulating over 450 citations across more than a decade of research, Soria has established himself as a leading voice in intelligent robotics, consistently bridging theoretical control design with real-world assistive and rehabilitation applications.
Research Focus
Key Achievements
Top Papers
- 1Sliding Mode Neuro Adaptive Control in Trajectory Tracking for Mobile Robots76 citations · 2013
- 2Towards a New Modality-Independent Interface for a Robotic Wheelchair75 citations · 2013
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- 5Autonomous mobile robots navigation using RBF neural compensator49 citations · 2010
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- 7Adaptive Neural Sliding Mode Control in Discrete Time for a SCARA robot arm29 citations · 2016
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- 10Supervisory control for a telerobotic system: a hybrid control approach27 citations · 2003