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On the Transfer of Disentangled Representations in Realistic Settings
Learning meaningful representations that disentangle the underlying stru...
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Function Contrastive Learning of Transferable Representations
Few-shot-learning seeks to find models that are capable of fast-adaptati...
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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...
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TriFinger: An Open-Source Robot for Learning Dexterity
Dexterous object manipulation remains an open problem in robotics, despi...
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S2RMs: Spatially Structured Recurrent Modules
Capturing the structure of a data-generating process by means of appropr...
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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...
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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...
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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...
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Robust Gaussian Filtering using a Pseudo Measurement
Many sensors, such as range, sonar, radar, GPS and visual devices, produ...
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Probabilistic Depth Image Registration incorporating Nonvisual Information
In this paper, we derive a probabilistic registration algorithm for obje...
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