Synergistic Control for Quadrupedal Locomotion: An RL-Augmented MPC Framework for Dynamic Load Adaptation on Unstructured Terrains

The deployment of quadrupedal robots in realworld scenarios necessitates the ability to perform dynamic locomotion while carrying unknown, shifting payloads over complex, unstructured terrain. This dual challenge remains a significant barrier, as exis

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Publication Details

Published
2025-09-15
DOI
https://doi.org/10.36227/techrxiv.175795485.58287085/v1
Primary Topic
Advanced Control Systems Optimization
Type
article
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article

Synergistic Control for Quadrupedal Locomotion: An RL-Augmented MPC Framework for Dynamic Load Adaptation on Unstructured Terrains

M Chandan, M U Chiranth
Advanced Control Systems Optimization
article

Synergistic Control for Quadrupedal Locomotion: An RL-Augmented MPC Framework for Dynamic Load Adaptation on Unstructured Terrains

M Chandan, M U Chiranth
article en

Abstract

The deployment of quadrupedal robots in realworld scenarios necessitates the ability to perform dynamic locomotion while carrying unknown, shifting payloads over complex, unstructured terrain. This dual challenge remains a significant barrier, as exis

Jain University (IN), Dr. Hari Singh Gour University (IN)
Openalex Percentile: Top 69%
Advanced Control Systems Optimization
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Synergistic Control for Quadrupedal Locomotion: An RL-Augmented MPC Framework for Dynamic Load Adaptation on Unstructured Terrains — M Chandan, M U Chiranth · (2025) | TGRS Research Map | TGRS