1 citations · 1 across the 3 of their papers we have counts for
3 papers
You Only Look at One: Category-Level Object Representations for Pose Estimation From a Single Example
Walter Goodwin, Ioannis Havoutis, Ingmar Posner
In order to meaningfully interact with the world, robot manipulators must be able to interpret objects they encounter. A critical aspect of this interpretation is pose estimation:…
Roll-Drop: accounting for observation noise with a single parameter
Luigi Campanaro, Daniele De Martini, Siddhant Gangapurwala +2
This paper proposes a simple strategy for sim-to-real in Deep-Reinforcement Learning (DRL) -- called Roll-Drop -- that uses dropout during simulation to account for observation noi…
Leveraging Scene Embeddings for Gradient-Based Motion Planning in Latent Space
Jun Yamada, Chia-Man Hung, Jack Collins +2
Motion planning framed as optimisation in structured latent spaces has recently emerged as competitive with traditional methods in terms of planning success while significantly out…