A Three Dimensional Dynamic Palletizing Heuristic

Tsai, Russell D.; Malstrom, Eric M.; Kuo, Way

doi:10.1007/978-3-642-84356-3_11

Cited by 4 publications

(2 citation statements)

References 29 publications

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“…[7,29] use a heuristic simulated annealing procedure to pack boxes together. [22,14] presents a good overview of heuristic techniques to solve the bin packing problem.…”

Section: Heuristics For the Packing Problemmentioning

confidence: 99%

Planning in logistics

Kolhe

Christensen

2010

Proceedings of the 10th Performance Metrics for Intelligent Systems Workshop

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“…[7,29] use a heuristic simulated annealing procedure to pack boxes together. [22,14] presents a good overview of heuristic techniques to solve the bin packing problem.…”

Section: Heuristics For the Packing Problemmentioning

confidence: 99%

Planning in logistics

Kolhe

Christensen

2010

Proceedings of the 10th Performance Metrics for Intelligent Systems Workshop

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“…Robotic 3D bin‐packing (R‐3dBPP) requires a robot to grab the mixed cases from a conveyor and place them into a container. It is a variant of the classic online 3D bin packing problem (3dBPP) [4], which has been proven to be an NP‐hard problem [5].…”

Section: Introductionmentioning

confidence: 99%

Compliant‐based robotic 3D bin packing with unavoidable uncertainties

Shuai

Gao

et al. 2023

IET Control Theory & Appl

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Robotic 3D bin packing (R‐3dBPP), aiming to place deformed cases in various sizes in the container without fences, is a comprehensive application that includes perception, planning, execution, and hardware design. Traditional studies assume that the context of the real space must be accurately perceived and represented. However, disjunctions between the planner and reality are unavoidable in R‐3dBPP, especially with low‐cost sensors. As far as the author knows, there is no practical solution. In this paper, the above assumption is discarded and the typical types of uncertainties prevalent to guide the design of the algorithms are formulated. A new online bin‐packing algorithm is proposed, keeping deformed boxes stacked in close contact with each other, so that the whole pallet is kept stable by friction between the boxes and the container. In order to meet the requirement of close contact under the non‐negligible errors from sensors and planners, a compliant‐based motion planning system is introduced. It replaces the precision‐based feedback with a compliant end‐effector and accompanying motion strategies. Last but not least, a complete online bin‐packing robot system is developed and the system's performance under the influence of the uncertainties mentioned above through simulation and physical experiments is evaluated.

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Reduction of Manufacturing Cost Through Material Handling

Egbelu

1991

Control and Dynamic Systems

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A Three Dimensional Dynamic Palletizing Heuristic

Cited by 4 publications

References 29 publications

Planning in logistics

Planning in logistics

Compliant‐based robotic 3D bin packing with unavoidable uncertainties

Reduction of Manufacturing Cost Through Material Handling

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