Long-Reach Robotic Manipulation for Assembly and Outfitting of Lunar Structures

📅 2026-03-30
📈 Citations: 0
Influential: 0
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🤖 AI Summary
This study addresses the challenge of achieving high-precision manipulation over large workspaces for lunar surface assembly tasks, where conventional robotic arms struggle to simultaneously provide long reach and fine control. To overcome this limitation, the authors propose a compact, long-reach manipulator integrated with a deployable composite arm, applied here for the first time to lunar electrical assembly operations. By developing dynamic models capturing arm deflection, vibration, and deployment behavior, and by designing corresponding vibration suppression and high-precision trajectory tracking control strategies, the system effectively mitigates dynamic uncertainties inherent in flexible structures. Experimental results demonstrate an average end-effector positioning error of less than 15 mm over a 1.8-meter reach, and successful cable routing was achieved, validating the feasibility of the proposed approach for long-distance, precision assembly on the lunar surface.
📝 Abstract
Future infrastructure construction on the lunar surface will require semi- or fully-autonomous operation from robots deployed at the build site. In particular, tasks such as electrical outfitting necessitate transport, routing, and fine manipulation of cables across large structures. To address this need, we present a compact and long-reach manipulator incorporating a deployable composite boom, capable of performing manipulation tasks across large structures and workspaces. We characterize the deflection, vibration, and blossoming characteristics inherent to the deployable structure, and present a manipulation control strategy to mitigate these effects. Experiments indicate an average endpoint accuracy error of less than 15 mm for boom lengths up to 1.8 m. We demonstrate the approach with a cable routing task to illustrate the potential for lunar outfitting applications that benefit from long reach.
Problem

Research questions and friction points this paper is trying to address.

long-reach manipulation
lunar construction
cable routing
deployable boom
robotic outfitting
Innovation

Methods, ideas, or system contributions that make the work stand out.

long-reach manipulation
deployable composite boom
lunar robotic assembly
vibration mitigation
precision control
S
Stanley Wang
Dept. of Mechanical Engineering, Stanford University, Stanford, CA 94305, USA
Venny Kojouharov
Venny Kojouharov
PhD Student @ Stanford
field roboticsbio-inspirationrobot locomotion
L
Long Yin Chung
Dept. of Mechanical Engineering, Stanford University, Stanford, CA 94305, USA
Daniel Morton
Daniel Morton
PhD student, Stanford University
RoboticsOptimizationManipulationControl
Mark Cutkosky
Mark Cutkosky
Professor of Mechanical Engineering, Stanford University
roboticshapticsbio-inspired design