Alberto Brunete
Technical University of Madrid
46 Papers
135 Citations
Alberto Brunete is an academic researcher from Technical University of Madrid. The author has contributed to research in topics: Computer science & Robot. The author has an hindex of 11, co-authored 36 publications. Previous affiliations of Alberto Brunete include Polytechnic University of Puerto Rico & Spanish National Research Council.
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Papers
Home Camera-Based Fall Detection System for the Elderly
TL;DR: This paper presents a new low-cost fall detector for smart homes based on artificial vision algorithms that combines several algorithms (background subtraction, Kalman filtering and optical flow) as input to a machine learning algorithm with high detection accuracy.
Current trends in reconfigurable modular robots design
Alberto Brunete,Avinash Ranganath,Sergio Segovia,Javier Pérez de Frutos,Miguel Hernando,E. Gambao +5 more
TL;DR: This article presents a review on trends in modular reconfigurable robots, comparing the evolution of the features of the most significant robots over the years and focusing on the latest designs.
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Hammer: An Android based application for end-user industrial robot programming
Carlos Mateo,Alberto Brunete,E. Gambao,Miguel Hernando +3 more
- 27 Oct 2014
TL;DR: This paper presents a novel tablet based end-user interface for industrial robot programming (called Hammer) that makes easier to program tasks for industrial robots like polishing, milling or grinding through augmented reality.
Hard material small-batch industrial machining robot
Alberto Brunete,E. Gambao,Jukka Koskinen,Tapio Heikkilä,Knut Berg Kaldestad,Ilya Tyapin,Geir Hovland,Dragoljub Surdilovic,Miguel Hernando,Aldo Bottero,Stefan Anton +10 more
TL;DR: It is demonstrated that even hard metals with specific robotics-optimised novel hard-metal tools can be machined by standard industrial robots with an improved position-control approach and enhanced compliance-control functions.
54
Smart Assistive Architecture for the Integration of IoT Devices, Robotic Systems, and Multimodal Interfaces in Healthcare Environments.
TL;DR: In this paper, the authors present a new architecture that integrates Internet of Things (IoT) devices, service robots, and users in a smart assistive environment, which allows the user to control service robots and devices inside the room in five different ways: touch control, eye control, gesture control, voice control, and augmented reality control.
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