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<p>The increasing demand for efficiency, safety, and cost reduction in logistics in conjunction with rising labor costs is a key challenge. To solve this challenge, sophisticated solutions such as autonomous forklifts, which perform repetitive tasks like material handling without human intervention, are a promising solution. Despite the growing interest in autonomous systems, one of the most significant challenges to overcome is reliable load handling in terms of correctly aligning the vehicle with the load and picking it up correctly. The paper at hand aims to systematically identify, analyze, and synthesize current research activities on this topic and outline current challenges and open research gaps. Various databases were systematically searched for relevant publications, and a total number of 62 publications were analyzed in detail. The study demonstrated that research activities in this field have been gaining importance. Numerous different methodologies and algorithms have been identified and summarized. Nonetheless, challenges and research gaps exist, such as perceptual robustness, environmental adaptability, and system integration. This systematic literature review is the first to address load handling with autonomous forklifts using a systematic and comprehensive approach.</p>

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Methods for autonomous load handling with forklifts: a state-of-the-art review

  • 期刊论文

  • 发表日期：

    2026年4月2日

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  • Phil Köhne,
  • Mirko Schaper,
  • Justus Lübbehusen,
  • Benjamin Küster,
  • Malte Stonis,
  • Ludger Overmeyer

摘要

The increasing demand for efficiency, safety, and cost reduction in logistics in conjunction with rising labor costs is a key challenge. To solve this challenge, sophisticated solutions such as autonomous forklifts, which perform repetitive tasks like material handling without human intervention, are a promising solution. Despite the growing interest in autonomous systems, one of the most significant challenges to overcome is reliable load handling in terms of correctly aligning the vehicle with the load and picking it up correctly. The paper at hand aims to systematically identify, analyze, and synthesize current research activities on this topic and outline current challenges and open research gaps. Various databases were systematically searched for relevant publications, and a total number of 62 publications were analyzed in detail. The study demonstrated that research activities in this field have been gaining importance. Numerous different methodologies and algorithms have been identified and summarized. Nonetheless, challenges and research gaps exist, such as perceptual robustness, environmental adaptability, and system integration. This systematic literature review is the first to address load handling with autonomous forklifts using a systematic and comprehensive approach.