Optimal Whole Body Trajectory Planning for Mobile Manipulators in Planetary Exploration and Construction
Federica Storiale, Enrico Ferrentino, Federico Salvioli, Konstantinos, Kapellos, Pasquale Chiacchio

TL;DR
This paper introduces OptiWB, an optimal whole-body trajectory planner for mobile manipulators in planetary exploration, leveraging dynamic programming and kinematic redundancy to generate energy-efficient, collision-free, and visibility-optimized paths.
Contribution
The paper presents a novel integrated planning approach that optimizes the entire robot body movement simultaneously, improving over traditional separate base and arm planning methods.
Findings
Successfully integrated with ESA's mission planning software
Demonstrated improved collision avoidance and visibility
Validated on a simulated planetary rover platform
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 sub-optimal solutions. We propose an Optimal Whole Body Planner (OptiWB) based on Discrete Dynamic Programming (DDP) and optimal interpolation. Kinematic redundancy is exploited for collision and forbidden areas avoidance, and to improve target…
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Taxonomy
TopicsRobotic Path Planning Algorithms
