Manuel Wüthrich

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On the Transfer of Disentangled Representations in Realistic Settings

Learning meaningful representations that disentangle the underlying stru...
10/27/2020 ∙ by Andrea Dittadi, et al. ∙ 24 ∙ share

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Function Contrastive Learning of Transferable Representations

Few-shot-learning seeks to find models that are capable of fast-adaptati...
10/14/2020 ∙ by Muhammad Waleed Gondal, et al. ∙ 8 ∙ share

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CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning

Despite recent successes of reinforcement learning (RL), it remains a ch...
10/08/2020 ∙ by Ossama Ahmed, et al. ∙ 5 ∙ share

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TriFinger: An Open-Source Robot for Learning Dexterity

Dexterous object manipulation remains an open problem in robotics, despi...
08/08/2020 ∙ by Manuel Wüthrich, et al. ∙ 1 ∙ share

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S2RMs: Spatially Structured Recurrent Modules

Capturing the structure of a data-generating process by means of appropr...
07/13/2020 ∙ by Nasim Rahaman, et al. ∙ 5 ∙ share

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An Open Torque-Controlled Modular Robot Architecture for Legged Locomotion Research

We present a new open-source torque-controlled legged robot system, with...
09/30/2019 ∙ by Felix Grimminger, et al. ∙ 0 ∙ share

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On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset

Learning meaningful and compact representations with structurally disent...
06/07/2019 ∙ by Muhammad Waleed Gondal, et al. ∙ 4 ∙ share

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Depth-Based Object Tracking Using a Robust Gaussian Filter

We consider the problem of model-based 3D-tracking of objects given dens...
02/19/2016 ∙ by Jan Issac, et al. ∙ 0 ∙ share

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Robust Gaussian Filtering using a Pseudo Measurement

Many sensors, such as range, sonar, radar, GPS and visual devices, produ...
09/14/2015 ∙ by Manuel Wüthrich, et al. ∙ 0 ∙ share

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Probabilistic Depth Image Registration incorporating Nonvisual Information

In this paper, we derive a probabilistic registration algorithm for obje...
04/29/2015 ∙ by Manuel Wüthrich, et al. ∙ 0 ∙ share

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