Advanced Power Converters and Learning in Diverse Robotic Innovation: A Review

R Singh, VSB Kurukuru, MA Khan - Energies, 2023 - mdpi.com
This paper provides a comprehensive review of the integration of advanced power
management systems and learning techniques in the field of robotics. It identifies the critical …

This month's articles cover topics from robotics, communications, and power and

L Londoño, JV Hurtado, N Hertz… - Proceedings of the …, 2024 - ieeexplore.ieee.org
Summary form only. Robot learning has advanced tremendously in the last decade. From
learning low-level manipulation skills to long-horizon mobile manipulation tasks and …

Robotics inspired renewable energy developments: prospective opportunities and challenges

J Iqbal, A Al-Zahrani, SA Alharbi, A Hashmi - IEEE Access, 2019 - ieeexplore.ieee.org
The domain of Robotics is a good partner of renewable energy and is becoming critical to
the sustainability and survival of the energy industry. The multi-disciplinary nature of robots …

Behavior-Based Power Management in Autonomous Mobile Robots

CA Fetzek - 2008 - scholar.afit.edu
Current attempts to prolong the life of a robot on a single battery charge focus on lowering
the operating frequency of the onboard hardware, or allowing devices to go to sleep during …

Power solutions for autonomous mobile robots: A survey

MU Farooq, A Eizad, HK Bae - Robotics and Autonomous Systems, 2023 - Elsevier
Autonomous mobile robots are a special class of robotic systems that can move a payload
from one location to the other or perform a specific task. They allow efficient, precise, and …

Cognitive feedforward learning control for object manipulation with a power assist robotic system

SMM Rahman, R Ikeura - 2021 IEEE 2nd International …, 2021 - ieeexplore.ieee.org
In the first step, a 1-DOF power assist robotic system (PARS) was developed for object
manipulation with it, and the dynamics for human-robot co-manipulation of objects was …

Variable impedance control and learning—a review

FJ Abu-Dakka, M Saveriano - Frontiers in Robotics and AI, 2020 - frontiersin.org
Robots that physically interact with their surroundings, in order to accomplish some tasks or
assist humans in their activities, require to exploit contact forces in a safe and proficient …

A hybrid spiking neural network reinforcement learning agent for energy-efficient object manipulation

KM Oikonomou, I Kansizoglou, A Gasteratos - Machines, 2023 - mdpi.com
Due to the wide spread of robotics technologies in everyday activities, from industrial
automation to domestic assisted living applications, cutting-edge techniques such as deep …

Machine learning for data-driven control of robots

S Givigi, PT Jardine - IEEE Potentials, 2018 - ieeexplore.ieee.org
Machine learning has become a popular area of research and development in many
domains over the past decade. Researchers in a number of disciplines, ranging from biology …

Robots as Energy Systems: Advances in Robotics across Scales and Technologies

M Duduta - Advanced Intelligent Systems, 2023 - Wiley Online Library
Robots are operating at unprecedented scales and in uniquely challenging environments,
particularly near the human body. These robots are enabled by novel actuation, sensing …