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01/06/2023
FMCW Radar Sensing for Indoor Drones Using Learned Representations
Frequency-modulated continuous-wave (FMCW) radar is a promising sensor t...
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07/13/2022
The Free Energy Principle for Perception and Action: A Deep Learning Perspective
The free energy principle, and its corollary active inference, constitut...
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08/26/2021
Disentangling What and Where for 3D Object-Centric Representations Through Active Inference
Although modern object detection and classification models achieve high ...
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06/17/2021
Towards bio-inspired unsupervised representation learning for indoor aerial navigation
Aerial navigation in GPS-denied, indoor environments, is still an open c...
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05/07/2021
LatentSLAM: unsupervised multi-sensor representation learning for localization and mapping
Biologically inspired algorithms for simultaneous localization and mappi...
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04/22/2021
A learning gap between neuroscience and reinforcement learning
Historically, artificial intelligence has drawn much inspiration from ne...
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04/15/2021
Self-Supervised Exploration via Latent Bayesian Surprise
Training with Reinforcement Learning requires a reward function that is ...
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03/06/2020
Deep Active Inference for Autonomous Robot Navigation
Active inference is a theory that underpins the way biological agent's p...
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01/30/2020
Learning Perception and Planning with Deep Active Inference
Active inference is a process theory of the brain that states that all l...
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01/28/2020
Learning to Catch Piglets in Flight
Catching objects in-flight is an outstanding challenge in robotics. In t...
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04/17/2019
