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Alberto Brunete
Researcher at Technical University of Madrid
Publications - 42
Citations - 675
Alberto Brunete is an academic researcher from Technical University of Madrid. The author has contributed to research in topics: Robot & Modular design. The author has an hindex of 11, co-authored 36 publications receiving 447 citations. Previous affiliations of Alberto Brunete include Polytechnic University of Puerto Rico & Spanish National Research Council.
Papers
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Journal ArticleDOI
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.
Journal ArticleDOI
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.
Proceedings ArticleDOI
Hammer: An Android based application for end-user industrial robot programming
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.
Journal ArticleDOI
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.
Journal ArticleDOI
A behaviour-based control architecture for heterogeneous modular, multi-configurable, chained micro-robots
TL;DR: A new control architecture designed for heterogeneous modular, multi-configurable, chained micro-robots is presented, which can automatically reconfigure its actions to adapt to unpredicted events (such as actuator failure).