ORCID Profile
0000-0002-8169-3560
Current Organisations
Queensland University of Technology
,
CSIRO
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Publisher: IEEE
Date: 10-2009
Publisher: Elsevier BV
Date: 02-2023
Publisher: IEEE
Date: 11-2021
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2015
Publisher: Springer Science and Business Media LLC
Date: 10-11-2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2022
Publisher: IEEE
Date: 29-11-2020
Publisher: IEEE
Date: 23-05-2022
Publisher: Elsevier BV
Date: 10-2023
Publisher: ACM
Date: 21-09-2012
Publisher: MDPI
Date: 12-02-2020
Publisher: IEEE
Date: 05-2013
Publisher: IEEE
Date: 11-2017
Publisher: Elsevier BV
Date: 08-2020
Publisher: IEEE
Date: 08-2018
Publisher: MDPI
Date: 17-01-2020
Publisher: Elsevier BV
Date: 11-2013
Publisher: IEEE
Date: 12-2018
Publisher: IEEE
Date: 10-2012
Publisher: IEEE
Date: 30-05-2021
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2023
Publisher: ACM
Date: 14-10-2022
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2021
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2019
Publisher: IEEE
Date: 05-2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 20-04-2020
DOI: 10.36227/TECHRXIV.11788857.V1
Abstract: Advances in design and development of light-weight and low power wearable and mobile devices open up the possibility of lifetime extension of these devices from ambient sources through energy harvesting devices as opposed to periodically recharge the batteries. The most commonly available ambient energy source for mobile devices is Kinetic energy harvesters (KEH). The major drawback of the energy harvesters is limited effectiveness of harvesting mechanism near a fixed resonant frequency. It is difficult to harvest a reliable amount of energy from every forms of device motions with different excitation frequencies. To overcome this drawback, in this paper we propose an adaptive electromagnetic energy harvester which utilises spring characteristics to adapt its resonant frequency to match the ambient excitation frequency. This paper presents a prototype design and analysis of an adaptive electromagnetic energy harvester both in simulation and real. The harvester has tested using a specially designed experimental setup and compared with numerical simulations. The proposed solution generates 3.5 times higher maximum power over the default power output and 2.4 times higher maximum frequency compared to a fixed resonant frequency electromagnetic energy harvester. /
Publisher: SPIE
Date: 21-05-2014
DOI: 10.1117/12.2053950
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2020
Publisher: IEEE
Date: 12-2008
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2012
Publisher: Field Robotics Publication Society
Date: 10-03-2022
DOI: 10.55417/FR.2022049
Abstract: Understanding the terrain in the upcoming path of a ground robot is one of the most challenging problems in field robotics. Terrain and traversability analysis is a multidisciplinary field combining robotics with image and signal processing, feature extraction, machine learning, three-dimensional (3D) mapping, and 3D geometry. Application scenarios range from autonomous vehicles on urban networks to agriculture, defence, exploration, mining, and search and rescue. Given the broad set of techniques available and the fast progress in this area, in this paper we organize and survey the corresponding literature, define unambiguous key terms, and discuss links among fundamental building blocks ranging from terrain classification to traversability regression. The advantages and the drawbacks of the methods are critically discussed, providing a comprehensive coverage of key aspects, including open code, available datasets for experimentation and comparisons, and important open research issues.
Publisher: IEEE
Date: 11-2013
Publisher: Wiley
Date: 06-01-2021
DOI: 10.1002/ROB.22006
Publisher: IEEE
Date: 10-01-2021
Publisher: IEEE
Date: 29-05-2023
Publisher: IEEE
Date: 05-2018
Publisher: IEEE
Date: 06-2022
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Publisher: IEEE
Date: 05-2015
Publisher: IEEE
Date: 05-2014
Publisher: IEEE
Date: 10-2017
Publisher: IEEE
Date: 23-10-2022
Location: Australia
No related grants have been discovered for Peyman Moghadam.