8 citations · 10 across the 12 of their papers we have counts for
6 papers · 1 filter
Towards Natural Language-Driven Assembly Using Foundation Models
Omkar Joglekar, Tal Lancewicki, Shir Kozlovsky +3
Large Language Models (LLMs) and strong vision models have enabled rapid research and development in the field of Vision-Language-Action models that enable robotic control. The mai…
Offline Skill Graph (OSG): A Framework for Learning and Planning using Offline Reinforcement Learning Skills
Ben-ya Halevy, Yehudit Aperstein, Dotan Di Castro
Reinforcement Learning has received wide interest due to its success in competitive games. Yet, its adoption in everyday applications is limited (e.g. industrial, home, healthcare,…
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…