Shape Reconstruction Task for Transfer of Haptic Information between Robotic Setups

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F23%3A00367827" target="_blank" >RIV/68407700:21230/23:00367827 - isvavai.cz</a>

Výsledek na webu

<a href="https://transferabilityinrobotics.github.io/icra2023/spotlight/TRW07_abstract.pdf" target="_blank" >https://transferabilityinrobotics.github.io/icra2023/spotlight/TRW07_abstract.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Shape Reconstruction Task for Transfer of Haptic Information between Robotic Setups

Popis výsledku v původním jazyce

Robot morphology, which includes the physical dimension and shape but also the placement and type of actuators and sensors, is highly variable. This also applies to different robot hand and grippers, equipped with force or tactile sensors. Unlike in computer vision, where information from cameras is robot and largely camera-independent, haptic information is morphology-dependent, which makes it difficult to transfer object recognition and other pipelines between setups. In this work, we introduce a shape reconstruction and grasping task to evaluate the success of haptic information transfer between robotic setups, and propose feature descriptors that can help in standardizing the haptic representation of shapes across different robotic setups.

Název v anglickém jazyce

Shape Reconstruction Task for Transfer of Haptic Information between Robotic Setups

Popis výsledku anglicky

Robot morphology, which includes the physical dimension and shape but also the placement and type of actuators and sensors, is highly variable. This also applies to different robot hand and grippers, equipped with force or tactile sensors. Unlike in computer vision, where information from cameras is robot and largely camera-independent, haptic information is morphology-dependent, which makes it difficult to transfer object recognition and other pipelines between setups. In this work, we introduce a shape reconstruction and grasping task to evaluate the success of haptic information transfer between robotic setups, and propose feature descriptors that can help in standardizing the haptic representation of shapes across different robotic setups.

Druh

O - Ostatní výsledky

CEP obor

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OECD FORD obor

20204 - Robotics and automatic control

Projekt

<a href="/cs/project/EF16_019%2F0000765" target="_blank" >EF16_019/0000765: Výzkumné centrum informatiky</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů