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In this work, we propose a data-driven approach to optimize the parameters of a simulation such that control policies can be directly transferred from simulation to a real-world quadrotor. Our neural network-based policies take only onboard…

Robotics · Computer Science 2022-12-29 Sven Gronauer , Matthias Kissel , Luca Sacchetto , Mathias Korte , Klaus Diepold

Interior permanent magnet synchronous machine drives are widely employed in electric traction systems and various industrial processes. However, prolonged exposure to high temperatures while operating can demagnetize the permanent magnets…

Systems and Control · Electrical Eng. & Systems 2021-06-18 Shen Zhang , Sufei Li , Lijun He , Jose A. Restrepo , Thomas G. Habetler

This paper presents a novel six-axis force/torque (F/T) sensor based on inductive sensing technology. Unlike conventional strain gauge-based sensors that require direct contact and external amplification, the proposed sensor utilizes…

Robotics · Computer Science 2025-05-15 Hyun-Bin Kim , Kyung-Soo Kim

We propose a procedure to demodulate analog signals encoded by a multicarrier modulator, with slowly-varying carrier shapes. We prove that the asymptotic demodulation error can be made arbitrarily small. The intended application is the…

Signal Processing · Electrical Eng. & Systems 2021-03-18 Dilshad Surroop , Pascal Combes , Philippe Martin

A simple approach to gyro and accelerometer bias estimation is proposed. It does not involve Kalman filtering or similar formal techniques. Instead, it is based on physical intuition and exploits a duality between gimbaled and strapdown…

Systems and Control · Computer Science 2013-07-02 Vasiliy M. Tereshkov

This paper presents a sensor-less maximum power tracking (MPT) pitch controller for grid connected Wind Turbine (WT). The main advantage of the proposed architecture is that the approach ensures smooth operation and thus minimizes the…

Systems and Control · Electrical Eng. & Systems 2019-09-17 Abilash Thakallapelli , Sudipta Ghosh , Sukumar Kamalasadan

Accurate prediction of battery state of charge is needed for autonomous robots to plan movements without using up all available power. This work develops a physics and data-informed model from a simulation that predicts SOC depletion as a…

Robotics · Computer Science 2026-03-03 Vidyut Pradeep , Shirantha Welikala

This article presents the real-time implementation of the model predictive control for tracking formulation to control a two-wheeled inverted pendulum robot. This formulation offers several advantages over standard MPC formulations at the…

Systems and Control · Electrical Eng. & Systems 2021-03-29 Pablo Krupa , Jose Camara , Ignacio Alvarado , Daniel Limon , Teodoro Alamo

Resonant electromagnetic actuators have been broadly used as vibration motors for mobile devices given their ability of generating relatively fast, strong, and controllable vibration force at a given resonant frequency. Mechanism of the…

Applied Physics · Physics 2018-03-20 Youngjun Cho

Model-free reinforcement learning has recently been shown to successfully learn navigation policies from raw sensor data. In this work, we address the problem of learning driving policies for an autonomous agent in a high-fidelity…

Machine Learning · Computer Science 2019-02-12 Qadeer Khan , Torsten Schön , Patrick Wenzel

Among various satellite actuators, magnetic torquers have been widely equipped for stabilization and attitude control of small satellites. Although magnetorquers are generally used with other actuators, such as momentum wheels, this paper…

Systems and Control · Electrical Eng. & Systems 2024-01-23 Kota Kondo , Yasuhiro Yoshimura , Shiji Nagasaki , Toshiya Hanada

This paper proposes machine-independent feature engineering for winding inter-turn short circuit fault that uses electrical current signals. Electrical current signal collected from permanent magnet synchronous motor (PMSM) is subjected to…

Signal Processing · Electrical Eng. & Systems 2022-06-16 W. Jung , S. H. Yun , Y. S. Lim , S. Cheong , J. Bae , Y. H. Park

The development of algorithms for automation of subtasks during robotic surgery can be accelerated by the availability of realistic simulation environments. In this work, we focus on one aspect of the realism of a surgical simulator, which…

Robotics · Computer Science 2024-06-12 Juan Antonio Barragan , Hisashi Ishida , Adnan Munawar , Peter Kazanzides

Currently, for many applications, it is necessary to know the speed and position of motors. This can be achieved using mechanical sensors coupled to the motor shaft or using sensorless techniques. The sensorless techniques in brushed dc…

Signal Processing · Electrical Eng. & Systems 2024-03-29 Ernesto Vazquez-Sanchez , Jaime Gomez-Gil , Jose-Carlos Gamazo-Real , Jose Fernando Diez-Higuera

We extend our work on a novel indoor positioning system (IPS) for autonomous mobile robots (AMRs) based on radar sensing of local, passive radar reflectors. Through the combination of simple reflectors and a single-channel frequency…

Robotics · Computer Science 2026-01-29 Sven Hinderer , Pascal Schlachter , Zhibin Yu , Xiaofeng Wu , Bin Yang

In this paper we study the question of how to reconstruct the state of a power system using Phasor Measurement Units (PMUs). In our previous research we proved that this question has an affirmative answer imposing some rather strict…

Systems and Control · Electrical Eng. & Systems 2024-10-08 Alexey Bobtsov , Romeo Ortega , Nicolai Lorenz-Meyer , Johannes Schiffer

Transcranial magnetic stimulation (TMS) is a noninvasive medical procedure that can modulate brain activity, and it is widely used in neuroscience and neurology research. Compared to manual operators, robots may improve the outcome of TMS…

We show that in pulsed electrically detected magnetic resonance (pEDMR) signal modulation in combination with a lock-in detection scheme can reduce the low-frequency noise level by one order of magnitude and in addition removes the…

Continuum manipulators in flexible endoscopic surgical systems offer high dexterity for minimally invasive procedures; however, accurate pose estimation and closed-loop control remain challenging due to hysteresis, compliance, and limited…

Robotics · Computer Science 2026-02-19 Junhyun Park , Chunggil An , Myeongbo Park , Ihsan Ullah , Sihyeong Park , Minho Hwang

Although projection-based reduced-order models (ROMs) for parameterized nonlinear dynamical systems have demonstrated exciting results across a range of applications, their broad adoption has been limited by their intrusivity: implementing…

Machine Learning · Computer Science 2021-06-18 Zhe Bai , Liqian Peng