Search Results for author: Martin Engelcke

Found 13 papers, 6 papers with code

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

no code implementations21 Oct 2022 Chia-Man Hung, Shaohong Zhong, Walter Goodwin, Oiwi Parker Jones, Martin Engelcke, Ioannis Havoutis, Ingmar Posner

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 poses.

Next Steps: Learning a Disentangled Gait Representation for Versatile Quadruped Locomotion

no code implementations9 Dec 2021 Alexander L. Mitchell, Wolfgang Merkt, Mathieu Geisert, Siddhant Gangapurwala, Martin Engelcke, Oiwi Parker Jones, Ioannis Havoutis, Ingmar Posner

This encourages disentanglement such that application of a drive signal to a single dimension of the latent state induces holistic plans synthesising a continuous variety of trot styles.


Universal Approximation of Functions on Sets

no code implementations5 Jul 2021 Edward Wagstaff, Fabian B. Fuchs, Martin Engelcke, Michael A. Osborne, Ingmar Posner

We provide a theoretical analysis of Deep Sets which shows that this universal approximation property is only guaranteed if the model's latent space is sufficiently high-dimensional.

GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement

1 code implementation NeurIPS 2021 Martin Engelcke, Oiwi Parker Jones, Ingmar Posner

Moreover, object representations are often inferred using RNNs which do not scale well to large images or iterative refinement which avoids imposing an unnatural ordering on objects in an image but requires the a priori initialisation of a fixed number of object representations.

Image Generation Image Segmentation +4

Reconstruction Bottlenecks in Object-Centric Generative Models

1 code implementation13 Jul 2020 Martin Engelcke, Oiwi Parker Jones, Ingmar Posner

A range of methods with suitable inductive biases exist to learn interpretable object-centric representations of images without supervision.

Object Discovery

On the Limitations of Representing Functions on Sets

no code implementations25 Jan 2019 Edward Wagstaff, Fabian B. Fuchs, Martin Engelcke, Ingmar Posner, Michael Osborne

Recent work on the representation of functions on sets has considered the use of summation in a latent space to enforce permutation invariance.

Gaussian Processes

Cannot find the paper you are looking for? You can Submit a new open access paper.