Torque-Based Center-of-Mass Estimation and Rollover-Aware Motion Planning for Heavy Omnidirectional Mobile Robots

Eccentric payloads redistribute wheel loads and change the forces and moments required to maneuver heavy mobile robots. This study combines torque-based center-of-mass (CoM) estimation with global and local motion planning. During aligned, quasi-static creep, normalized wheel torques give a planar CoM estimate under calibrated rolling-resistance assumptions. An acceleration-based extension for CoM height remains unvalidated on hardware. The global planner adds a direction-selective turning penalty, while the DWB-style local planner uses an operational rollover-index constraint and a preview speed limit. Tests on a 2000 kg platform with a 500 kg payload recovered the reference quadrant at all four asymmetric placements using forward–reverse creep. Combined-CoM discrepancies were 20–75 mm at three placements and 265 mm at the front-left placement. In fixed-placement simulations with nominal offsets, local planning reduced the peak index by 40.3% on average, and the combined global and local planners by 44.7%, without violating the selected bound. A reduced-multibody replay retained a 39.7% mean peak reduction at the nominal contact stiffness but produced brief violations at three placements. With a recovery policy that keeps the constraint active during normal candidate selection, 40 randomized scenarios had no violations; with hardware-informed error scales, ten exceeded the bound. Estimation accuracy and physical validation remain limitations.

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Publication Details

Journal
Applied Sciences
Published
2026-10-14
DOI
https://doi.org/10.3390/app162010164
Primary Topic
Control and Dynamics of Mobile Robots
Type
article
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article

Torque-Based Center-of-Mass Estimation and Rollover-Aware Motion Planning for Heavy Omnidirectional Mobile Robots

Kyeong-Jin Joo, Tae‐Yong Kuc, Junhyeon Choi, Jinho Kim et al.
Applied Sciences
Control and Dynamics of Mobile Robots
article

Torque-Based Center-of-Mass Estimation and Rollover-Aware Motion Planning for Heavy Omnidirectional Mobile Robots

Kyeong-Jin Joo, Tae‐Yong Kuc, Junhyeon Choi, Jinho Kim, Donghyoun Son
article en

Abstract

Eccentric payloads redistribute wheel loads and change the forces and moments required to maneuver heavy mobile robots. This study combines torque-based center-of-mass (CoM) estimation with global and local motion planning. During aligned, quasi-static creep, normalized wheel torques give a planar CoM estimate under calibrated rolling-resistance assumptions. An acceleration-based extension for CoM height remains unvalidated on hardware. The global planner adds a direction-selective turning penalty, while the DWB-style local planner uses an operational rollover-index constraint and a preview speed limit. Tests on a 2000 kg platform with a 500 kg payload recovered the reference quadrant at all four asymmetric placements using forward–reverse creep. Combined-CoM discrepancies were 20–75 mm at three placements and 265 mm at the front-left placement. In fixed-placement simulations with nominal offsets, local planning reduced the peak index by 40.3% on average, and the combined global and local planners by 44.7%, without violating the selected bound. A reduced-multibody replay retained a 39.7% mean peak reduction at the nominal contact stiffness but produced brief violations at three placements. With a recovery policy that keeps the constraint active during normal candidate selection, 40 randomized scenarios had no violations; with hardware-informed error scales, ten exceeded the bound. Estimation accuracy and physical validation remain limitations.

Applied SciencesVol. 16(20)
Sungkyunkwan University (KR)
Openalex Percentile: Top 17%
Control and Dynamics of Mobile Robots
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