118 citations · 120 across the 8 of their papers we have counts for
10 papers
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…
Vision-Guided Forecasting -- Visual Context for Multi-Horizon Time Series Forecasting
Eitan Kosman, Dotan Di Castro
Autonomous driving gained huge traction in recent years, due to its potential to change the way we commute. Much effort has been put into trying to estimate the state of a vehicle.…
SOLO: Search Online, Learn Offline for Combinatorial Optimization Problems
Joel Oren, Chana Ross, Maksym Lefarov +5
We study combinatorial problems with real world applications such as machine scheduling, routing, and assignment. We propose a method that combines Reinforcement Learning (RL) and…
InsertionNet -- A Scalable Solution for Insertion
Oren Spector, Dotan Di Castro
Complicated assembly processes can be described as a sequence of two main activities: grasping and insertion. While general grasping solutions are common in industry, insertion is…
Depth Completion with RGB Prior
Yuri Feldman, Yoel Shapiro, Dotan Di Castro
Depth cameras are a prominent perception system for robotics, especially when operating in natural unstructured environments. Industrial applications, however, typically involve re…
Practical Risk Measures in Reinforcement Learning
Dotan Di Castro, Joel Oren, Shie Mannor
Practical application of Reinforcement Learning (RL) often involves risk considerations. We study a generalized approximation scheme for risk measures, based on Monte-Carlo simulat…