most citedData-Efficient Excavation Force Estimation for Wheel Loaders

5 citations · 9 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2026

Wheel-loader V-Cycle Automation with Deep Koopman MPC

Armin Abdolmohammadi, Navid Mojahed, Dinesh Kumar +2

The repeated forward-reverse maneuvers performed by wheel loaders during earthmoving operations make them well suited for automation. However, the nonlinear dynamics of articulated…

eess.SY2025

Fleet Size and Mix Capacitated Vehicle Routing Problem with Time Windows for Mobile Fast Chargers

Farhang Motallebi Araghi, Armin Abdolmohammadi, Navid Mojahed +1

The electrification of off-road heavy equipment presents operational challenges for agencies serving remote sites with limited fixed charging infrastructure. Existing mobile fast c…

eess.SY2025

Optimal Path Planning for Wheel Loader Automation Enabled by Efficient Soil-Tool Interaction Modeling

Armin Abdolmohammadi, Navid Mojahed, Bahram Ravani +1

Earthmoving operations with wheel loaders require substantial power and incur high operational costs. This work presents an efficient automation framework based on the Fundamental…

eess.SY2025★ 5 cited

Data-Efficient Excavation Force Estimation for Wheel Loaders

Armin Abdolmohammadi, Navid Mojahed, Shima Nazari +1

Accurate prediction of excavation forces is critical for enabling autonomous operation and optimizing control strategies in earthmoving machinery. Conventional approaches often dep…

eess.SY2025★ 4 cited

Multi-Step Deep Koopman Network (MDK-Net) for Vehicle Control in Frenet Frame

Mohammad Abtahi, Mahdis Rabbani, Armin Abdolmohammadi +1

The highly nonlinear dynamics of vehicles present a major challenge for the practical implementation of optimal and Model Predictive Control (MPC) approaches in path planning and f…