Search Results for author: Etienne Arlaud

Found 2 papers, 0 papers with code

Robust Visual Sim-to-Real Transfer for Robotic Manipulation

no code implementations28 Jul 2023 Ricardo Garcia, Robin Strudel, ShiZhe Chen, Etienne Arlaud, Ivan Laptev, Cordelia Schmid

While previous work mainly evaluates DR for disembodied tasks, such as pose estimation and object detection, here we systematically explore visual domain randomization methods and benchmark them on a rich set of challenging robotic manipulation tasks.

object-detection Object Detection +1

Assembly Planning from Observations under Physical Constraints

no code implementations20 Apr 2022 Thomas Chabal, Robin Strudel, Etienne Arlaud, Jean Ponce, Cordelia Schmid

This paper addresses the problem of copying an unknown assembly of primitives with known shape and appearance using information extracted from a single photograph by an off-the-shelf procedure for object detection and pose estimation.

Object object-detection +2

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