AEROS: AdaptivE RObust Least-Squares for Graph-Based SLAM
Frontiers in Robotics and AI, 2022 In robot localisation and mapping, outliers are unavoidable when loop-closure measurements are taken into account. A single false-positive loop-closure can have a very negative impact on SLAM problems causing an inferior trajectory to be produced or even
Milad Ramezani +3 more
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Exploration of Power-Savings on Multi-Core Architectures With Offloaded Real-Time Operating System
IEEE AccessA Real-time Operating System (RTOS) manages the execution order of tasks with a scheduling algorithm to meet timing requirements. The scheduler frequently checks for ready tasks during context-switching.
Gokhan Akgun +6 more
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Thermal Analysis of a MEMS-Based Self-Adaptive Microfluidic Cooling Device
Micromachines, 2021 This study presents a thermal analysis of a temperature-driven microfluidic cell through a nonlinear self-adaptive micro valve that provides the mechanisms for the system to maintain a given critical temperature in an efficient way.
Gonzalo Sisó +7 more
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Design, Motivation and Evaluation of a Full-Resolution Optical Tactile Sensor
Sensors, 2019 Human skin is capable of sensing various types of forces with high resolution and accuracy. The development of an artificial sense of touch needs to address these properties, while retaining scalability to large surfaces with arbitrary shapes. The vision-
Carmelo Sferrazza, Raffaello D’Andrea
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Virtual Sensing of Wind Turbine Loads With Multi‐Hidden Markov Models for Above‐Rated Wind Speeds
Wind EnergyThe growing demand for wind energy necessitates efficient health monitoring strategies to ensure the long‐term reliability of wind turbines. Monitoring critical loads, such as flapwise blade root moments and tower base fore‐aft moments, is crucial for ...
A. Hassan +5 more
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Ultra-Wideband Angle of Arrival Estimation Based on Angle-Dependent Antenna Transfer Function
Sensors, 2019 Ultra-wideband radio signals are used in communication, indoor localization and radar systems, due to the high data rates, the high resilience to fading and the fine temporal resolution that can be achieved with a large bandwidth. This paper introduces a
Anton Ledergerber, Raffaello D’Andrea
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Computationally Efficient Force and Moment Models for Propellers in UAV Forward Flight Applications
Drones, 2019 Two low-order, parametric models are developed for the forces and moments that a rotating propeller undergoes in forward flight. The models are derived using a first-principles-based approach, and are computationally efficient in the sense of being ...
Rajan Gill, Raffaello D’Andrea
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Calibrating Away Inaccuracies in Ultra Wideband Range Measurements: A Maximum Likelihood Approach
IEEE Access, 2018 A calibration framework for an ultra-wideband localization system employing inertial measurement units is presented. No external motion capture system or other sensors are required for the calibration procedure.
Anton Ledergerber, Raffaello D'andrea
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Self-Calibrating Ultra-Wideband Network Supporting Multi-Robot Localization
IEEE Access, 2018 In this paper, we concern ourselves with the development of a localization system that permits multiple robots to localize themselves simultaneously within a given area, which has been outfitted with a network of stationary radio modules.
Michael Hamer, Raffaello D'Andrea
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