Hugo Torres Salamea

About

Hugo Torres Salamea is a researcher whose work sits at the intersection of assistive robotics, embedded systems, and industrial automation. His primary contributions focus on developing telerobotic systems that leverage the Kinect sensor and hand-gesture recognition to empower people with physical disabilities, enabling them to operate industrial manipulators. A key achievement is the design and implementation of a master-slave architecture using Wi-Fi communication (ESP8266) and an Arduino Mega to control a 4-DoF robot in real time, a system detailed in his 2020 paper (6 citations). To ensure reliability in noisy industrial environments, he has also integrated error-correction techniques, such as implementing a Hamming (7,4) code for fault-tolerant data transmission in a 3-DOF robot (6 citations). His work on the UDA-µBioLab platform (9 citations) demonstrates a parallel interest in educational technology for teaching microcontrollers with bioinstrumentation. With over 28 total citations, Salamea’s research is notable for its direct social impact—creating inclusive human-robot interfaces that bridge the gap between assistive technology and real-world industrial processes.

Research Focus

Key Achievements

Top Papers

1. 1
   UDA-µBioLab: Teaching Microcontrollers with Bioinstrumentation

   9 citations · 2018
2. 2
   Control of a Telerobotic System Using Wi-Fi and Kinect Sensor for Disabled people with an industrial Process

   6 citations · 2020
3. 3
   Implementation of the Hamming code for the detection and correction of errors in a telerobotic system using an industrial communication protocol

   6 citations · 2020
4. 4
   Implementation of a Telerobotic System Based on the Kinect Sensor for the Inclusion of People with Physical Disabilities in the Industrial Sector

   4 citations · 2019
5. 5
   An Industrial Application of a Human-Robot Interface for People with Physical Disabilities Using Hand Gestures

   3 citations · 2018

Key Collaborators

Contact & Links