activity
20212023
most citedReaching Through Latent Space: From Joint Statistics to Path Planning in Manipulation

16 citations · 20 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2023★ 1 cited

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:…

cs.RO2022★ 16 cited

Reaching Through Latent Space: From Joint Statistics to Path Planning in Manipulation

Chia-Man Hung, Shaohong Zhong, Walter Goodwin +4

We present a novel approach to path planning for robotic manipulators, in which paths are produced via iterative optimisation in the latent space of a generative model of robot pos…

cs.CV2022★ 2 cited

Zero-Shot Category-Level Object Pose Estimation

Walter Goodwin, Sagar Vaze, Ioannis Havoutis +1

Object pose estimation is an important component of most vision pipelines for embodied agents, as well as in 3D vision more generally. In this paper we tackle the problem of estima…

cs.AI2022★ 1 cited

Priors, Hierarchy, and Information Asymmetry for Skill Transfer in Reinforcement Learning

Sasha Salter, Kristian Hartikainen, Walter Goodwin +1

The ability to discover behaviours from past experience and transfer them to new tasks is a hallmark of intelligent agents acting sample-efficiently in the real world. Equipping em…

cs.RO2021

Semantically Grounded Object Matching for Robust Robotic Scene Rearrangement

Walter Goodwin, Sagar Vaze, Ioannis Havoutis +1

Object rearrangement has recently emerged as a key competency in robot manipulation, with practical solutions generally involving object detection, recognition, grasping and high-l…