8 citations · 12 across the 7 of their papers we have counts for
7 papers
Decentralized and Asymmetric Multi-Agent Learning in Construction Sites
Yakov Miron, Dan Navon, Yuval Goldfracht +2
Multi-agent collaboration involves multiple participants working together in a shared environment to achieve a common goal. These agents share information, divide tasks, and synchr…
AG2U -- Autonomous Grading Under Uncertainties
Yakov Miron, Yuval Goldfracht, Chana Ross +2
Surface grading, the process of leveling an uneven area containing pre-dumped sand piles, is an important task in the construction site pipeline. This labour-intensive process is o…
Towards Autonomous Grading In The Real World
Yakov Miron, Chana Ross, Yuval Goldfracht +2
In this work, we aim to tackle the problem of autonomous grading, where a dozer is required to flatten an uneven area. In addition, we explore methods for bridging the gap between…
DUQIM-Net: Probabilistic Object Hierarchy Representation for Multi-View Manipulation
Vladimir Tchuiev, Yakov Miron, Dotan Di-Castro
Object manipulation in cluttered scenes is a difficult and important problem in robotics. To efficiently manipulate objects, it is crucial to understand their surroundings, especia…
AGPNet -- Autonomous Grading Policy Network
Chana Ross, Yakov Miron, Yuval Goldfracht +1
In this work, we establish heuristics and learning strategies for the autonomous control of a dozer grading an uneven area studded with sand piles. We formalize the problem as a Ma…
BIDCD -- Bosch Industrial Depth Completion Dataset
Adam Botach, Yuri Feldman, Yakov Miron +2
We introduce BIDCD -- the Bosch Industrial Depth Completion Dataset. BIDCD is a new RGBD dataset of metallic industrial objects, collected with a depth camera mounted on a robotic…
S-Flow GAN
Yakov Miron, Yona Coscas
Our work offers a new method for domain translation from semantic label maps and Computer Graphic (CG) simulation edge map images to photo-realistic images. We train a Generative A…