Miguel Altamirano Cabrera
Skolkovo Institute of Science and Technology, Moscow Polytechnic University, Russian Space Systems
Papers
22
Total Citations
148
H-Index
7
About
Miguel Altamirano Cabrera is an innovative robotics researcher whose work spans human-robot interaction, vision-language-action systems, tactile sensing, and assistive robotics. His research consistently bridges cutting-edge artificial intelligence with practical robotic applications, making him a distinctive voice in contemporary robotics. Among his most influential contributions are his vision-language-action systems, including UAV-VLA (22 citations), which enables natural language-driven aerial mission planning through satellite imagery and GPT integration, and Bi-VLA (17 citations), which advances bimanual robotic dexterous manipulation. These works position him at the forefront of language-guided robotics. Altamirano Cabrera has also made significant strides in tactile sensing and terrain recognition, most notably through DogTouch (21 citations), which enables quadruped robots to identify surface textures using CNN-based processing of high-density tactile sensor data. Building on this foundation, DogSurf extends such capabilities to assist visually impaired users in real-world navigation. His human-robot interaction portfolio is equally impressive, encompassing gesture-based AR interfaces (CobotAR, 13 citations), wearable motion-capture systems (CobotGear, 12 citations), haptic feedback telemanipulation, and gaze-controlled robotic manipulation for motor-impaired individuals. Collectively accumulating over 116 citations, his body of work demonstrates a rare combination of theoretical depth and meaningful humanitarian application.
Research Focus
Key Achievements
Top Papers
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- 8GazeGrasp: DNN-Driven Robotic Grasping with Wearable Eye-Gaze Interface6 citations · 2025
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