Path Planning and Energy Optimization in Optimal Control of Autonomous Wheel Loaders Using Reinforcement Learning-Reference-Cited by-同舟云学术

Path Planning and Energy Optimization in Optimal Control of Autonomous Wheel Loaders Using Reinforcement Learning

Published:2023-08 Issue:8 Volume:72 Page:9821-9834
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Sardarmehni Tohid¹^ORCID,Song Xingyong²^ORCID

Affiliation:

1. Department of Mechanical Engineering, California State University Northridge, Northridge, CA, USA

2. Department of Engineering Technology and Industrial Distribution, Department of Mechanical Engineering, Department of Electrical and Computer Engineering, College of Engineering, Texas A&M University, College Station, TX, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/25/10230043/10073646.pdf?arnumber=10073646

Reference44 articles.

1. Components Sizing and Performance Analysis of Hydro-Mechanical Power Split Transmission Applied to a Wheel Loader

2. Path planning, modeling and simulation of an autonomous articulated heavy construction machine performing a loading cycle

3. Torque Control of a Hydrostatic Transmission Applied to a Wheel Loader

4. Trajectory Arrangement of Bucket Motion of Wheel Loader

5. Embedded Nonlinear Model Predictive Control of Dual-Clutch Transmissions With Multiple Groups on a Shrinking Horizon

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