Unified View of Robotic Microhandling and Self‐Assembly

Zhou, Quan; Sariola, Veikko

doi:10.1002/9780470634417.ch3

Cited by 7 publications

(3 citation statements)

References 57 publications

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“…Fig. 2 illustrates the two example events (labels in the feature matrix) which were selected for evaluating the different classification methods: (1) an event where the chip is being grasped (grasped-event) and (2) an event where a chip is adhered to a gripper tip (adhered-event) during its release.…”

Section: A Events For Classificationmentioning

confidence: 99%

“…Microhandling represents a set of operations such as positioning, dissection, injection, aspiration and assembly to name a few, for manipulating microscopic objects [1]. These methods have been applied in handling of single fibers [2]- [4], construction of complex micromechanical structures [5], automatic inspection of microelectronic components [6], manipulation of single microscopic biological organisms [7], etc.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Vision based event classification in robotic micromanipulation

Cenev

Venäläinen

Zhou

2017

2017 International Conference on Manipulation, Automation and Robotics at Small Scales (MARSS)

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Abstract-Autonomous positioning of small objects to create heterogeneous structures has great potential to advance the current micromanipulation procedures. To achieve autonomous micromanipulation, it is required to recognize the manipulation events. In this work, different classification algorithms including five common supervised learning methods are assessed for identifying states of manipulation. The classifiers are trained with data that consists of 3056 video frames and validated on 2545 videos frames. The best machine learning classifiers classified the events with 92.9 % accuracy, higher than the result of logic-based classification (88.9 %).

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Section: A Events For Classificationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Vision based event classification in robotic micromanipulation

Cenev

Venäläinen

Zhou

2017

2017 International Conference on Manipulation, Automation and Robotics at Small Scales (MARSS)

Self Cite

View full text Add to dashboard Cite

show abstract

“…Contact manipulation requires a delicate force balance between the particle, the tool and the target, which could be challenging in applications [8].…”

Section: Introductionmentioning

confidence: 99%