Exploring Autonomous Load-Carrying Mobile Robots in Indoor Settings: A Comprehensive Review

PY Leong, NS Ahmad - IEEE Access, 2024 - ieeexplore.ieee.org
This review paper provides a detailed overview of the advancements and identifies pivotal
challenges in the realm of autonomous load-carrying mobile robots, with a particular focus …

Sizing of Lithium-Ion Battery/Supercapacitor Hybrid Energy Storage System for Forklift Vehicle

T Paul, T Mesbahi, S Durand, D Flieller, W Uhring - Energies, 2020 - mdpi.com
Nowadays, electric vehicles are one of the main topics in the new industrial revolution,
called Industry 4.0. The transport and logistic solutions based on E-mobility, such as …

Hybrid battery–supercapacitor system for full electric forklifts

F Castelli Dezza, V Musolino… - IET Electrical Systems …, 2019 - Wiley Online Library
Despite the yearly rise in the market quota of full electric vehicles, the main limitations on the
deployment of electric vehicles are the real performances of the battery storage during …

Time optimal motion planning with zmp stability constraint for timber manipulation

J Song, I Sharf - 2020 IEEE International Conference on …, 2020 - ieeexplore.ieee.org
This paper presents a dynamic stability-constrained optimal motion planning algorithm
developed for a timber harvesting machine working on rough terrain. First, the kinematics …

Stability-constrained mobile manipulation planning on rough terrain

J Song, I Sharf - Robotica, 2022 - cambridge.org
This paper presents a hierarchical framework that allows online point-to-point dynamic-
stability-constrained optimal trajectory planning of a mobile manipulator robot working on …

Robotic forklift for stacking multiple pallets with RGB-D cameras

R Iinuma, Y Hori, H Onoyama, Y Kubo… - Journal of Robotics and …, 2021 - jstage.jst.go.jp
We propose a robotic forklift system for stacking multiple mesh pallets. The stacking of mesh
pallets is an essential task for the shipping and storage of loads. However, stacking, the …

Adaptive self-learning controllers with disturbance compensation for automatic track guidance of industrial trucks

T Sauer, M Gorks, L Spielmann, K Zindler… - SICE Journal of …, 2023 - Taylor & Francis
This paper presents an extended control concept for automatic track guidance of industrial
trucks in intralogistic systems. It is based on Reinforcement Learning (RL), a method of …

Automatic track guidance of industrial trucks with time-variant vehicle parameters using AI-based controllers

T Sauer, L Spielmann, M Gorks, K Zindler, U Jumar - IFAC-PapersOnLine, 2022 - Elsevier
This paper presents an extension of a self-learning control concept for automatic track
guidance of industrial trucks in intralogistic systems. The presented approach is based on …

Path-following control for self-driving forklifts based on cascade disturbance rejection with coordinates reconstruction

L Li, K Song, H Xie - 2020 39th Chinese Control Conference …, 2020 - ieeexplore.ieee.org
The forklift is one of the most popular goods handling vehicles in logistic applications. Self-
driving, as an emerging technology, is promising in simultaneously reducing the labor cost …

Trajectory planning for mobile manipulators on rough terrain

J Song - 2023 - escholarship.mcgill.ca
L'exploitation forestière est une industrie très importante pour de nombreux pays,
notamment le Canada. La plupart des entreprises modernes d'exploitation forestière dans le …