no code implementations • 13 Jan 2024 • Kourosh Darvish, Marta Skreta, Yuchi Zhao, Naruki Yoshikawa, Sagnik Som, Miroslav Bogdanovic, Yang Cao, Han Hao, Haoping Xu, Alán Aspuru-Guzik, Animesh Garg, Florian Shkurti
Despite the many benefits incurred by the integration of advanced and special-purpose lab equipment, many aspects of experimentation are still manually conducted by chemists, for example, polishing an electrode in electrochemistry experiments.
no code implementations • 22 Feb 2023 • Yi Ru Wang, Yuchi Zhao, Haoping Xu, Saggi Eppel, Alan Aspuru-Guzik, Florian Shkurti, Animesh Garg
Transparent object perception is a crucial skill for applications such as robot manipulation in household and laboratory settings.
no code implementations • 30 Sep 2021 • Haoping Xu, Yi Ru Wang, Sagi Eppel, Alàn Aspuru-Guzik, Florian Shkurti, Animesh Garg
To address the shortcomings of existing transparent object data collection schemes in literature, we also propose an automated dataset creation workflow that consists of robot-controlled image collection and vision-based automatic annotation.
1 code implementation • 15 Sep 2021 • Sagi Eppel, Haoping Xu, Yi Ru Wang, Alan Aspuru-Guzik
We use this to predict 3D models of vessels and their content from a single image.
Ranked #1 on Single-View 3D Reconstruction on TransProteus
1 code implementation • 4 May 2021 • Sagi Eppel, Haoping Xu, Alan Aspuru-Guzik
This work explores the use of computer vision for image segmentation and classification of medical fluid samples in transparent containers (for example, tubes, syringes, infusion bags).
1 code implementation • ACS Central Science 2020 • Sagi Eppel, Haoping Xu, Mor Bismuth, Alan Aspuru-Guzik
Visual recognition of vessels and their contents is essential for performing this task.