arXiv Open Access 2022

Human-Robot Handovers using Task-Space Quadratic Programming

Mohamed Djeha Antonin Dallard Ahmed Zermane Pierre Gergondet Abderrahmane Kheddar
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Abstrak

Bidirectional object handover between a human and a robot enables an important functionality skill in robotic human-centered manufacturing or services. The problem in achieving this skill lies in the capacity of any solution to deal with three important aspects: (i) synchronized timing for the handing over phases; (ii) the handling of object pose constraints; and (iii) understanding the haptic exchanging to seamlessly achieve some steps of the (i). We propose a new approach for (i) and (ii) consisting in explicitly formulating the handover process as constraints in a task-space quadratic programming control framework to achieve implicit time and trajectory encounters. Our method is implemented on Panda robotic arm taking objects from a human operator.

Topik & Kata Kunci

Penulis (5)

M

Mohamed Djeha

A

Antonin Dallard

A

Ahmed Zermane

P

Pierre Gergondet

A

Abderrahmane Kheddar

Format Sitasi

Djeha, M., Dallard, A., Zermane, A., Gergondet, P., Kheddar, A. (2022). Human-Robot Handovers using Task-Space Quadratic Programming. https://arxiv.org/abs/2206.09185

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Tahun Terbit
2022
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en
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arXiv
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Open Access ✓