Optimal Whole Body Trajectory Planning for Mobile Manipulators in Planetary Exploration and Construction

Space robotics poses unique challenges arising from the limitation of energy and computational resources, and the complexity of the environment and employed platforms. At the control center, offline motion planning is fundamental in the computation of optimized trajectories accounting for the system's constraints. Smooth movements, collision and forbidden areas avoidance, target visibility and energy consumption are all important factors to consider to be able to generate feasible and optimal plans. When mobile manipulators (terrestrial, aerial) are employed, the base and the arm movements are often separately planned, ultimately resulting in suboptimal solutions. We propose an Optimal Whole Body Planner (OptiWB) based on discrete Dynamic Programming (DP) and optimal interpolation. Kinematic redundancy is exploited for collision and forbidden areas avoidance, and to improve target illumination and visibility from onboard cameras. The planner, implemented in ROS (Robot Operating System), interfaces 3DROCS, a mission planner used in several programs of the European Space Agency (ESA) to support planetary exploration surface missions and part of the ExoMars Rover's planning software. The proposed approach is exercised on a simplified version of the Analog-1 Interact rover by ESA, a 7-DOFs robotic arm mounted on a four wheels non-holonomic platform.

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Publication Details

Journal
IEEE Open Journal of the Industrial Electronics Society
Published
2025-01-01
DOI
https://doi.org/10.1109/ojies.2025.3597747
Citations
1
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
1.28
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article

Optimal Whole Body Trajectory Planning for Mobile Manipulators in Planetary Exploration and Construction

Enrico Ferrentino, Federico Salvioli, Federica Storiale, Pasquale Chiacchio et al.
1 citations
IEEE Open Journal of the Industrial Electronics Society
Robotic Path Planning Algorithms
1.28
article

Optimal Whole Body Trajectory Planning for Mobile Manipulators in Planetary Exploration and Construction

Enrico Ferrentino, Federico Salvioli, Federica Storiale, Pasquale Chiacchio, Konstantinos Kapellos
article en
1 citations

Abstract

Space robotics poses unique challenges arising from the limitation of energy and computational resources, and the complexity of the environment and employed platforms. At the control center, offline motion planning is fundamental in the computation of optimized trajectories accounting for the system's constraints. Smooth movements, collision and forbidden areas avoidance, target visibility and energy consumption are all important factors to consider to be able to generate feasible and optimal plans. When mobile manipulators (terrestrial, aerial) are employed, the base and the arm movements are often separately planned, ultimately resulting in suboptimal solutions. We propose an Optimal Whole Body Planner (OptiWB) based on discrete Dynamic Programming (DP) and optimal interpolation. Kinematic redundancy is exploited for collision and forbidden areas avoidance, and to improve target illumination and visibility from onboard cameras. The planner, implemented in ROS (Robot Operating System), interfaces 3DROCS, a mission planner used in several programs of the European Space Agency (ESA) to support planetary exploration surface missions and part of the ExoMars Rover's planning software. The proposed approach is exercised on a simplified version of the Analog-1 Interact rover by ESA, a 7-DOFs robotic arm mounted on a four wheels non-holonomic platform.

IEEE Open Journal of the Industrial Electronics SocietyVol. 6
University of Salerno (IT), Torino e-district (IT), Trasys International (Belgium) (BE)
Openalex Percentile: Top 17%
Robotic Path Planning Algorithms
1.28
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Optimal Whole Body Trajectory Planning for Mobile Manipulators in Planetary Exploration and Construction — Enrico Ferrentino, Federico Salvioli, et al. · IEEE Open Journal of the Industrial Electronics Society (2025) | TGRS Research Map | TGRS