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Timo Korthals

2 accepted papers

2020

Decentralized Deep Reinforcement Learning for a Distributed and Adaptive Locomotion Controller of a Hexapod Robot

IROS 2020poster

Locomotion is a prime example for adaptive behavior in animals and biological control principles have inspired control architectures for legged robots. While machine learning has been successfully applied to many tasks in recent years, Deep Reinforcement Learning approaches still appear to struggle…

Cited by 32SourcecodeScholar
2019

Multi-Modal Generative Models for Learning Epistemic Active Sensing

ICRA 2019poster

We present a novel approach of multi-modal deep generative models and apply this to coordinated heterogeneous multi-agent active sensing. A major approach to achieve this objective is to train a multi-modal variational Auto Encoder (M2VAE) that integrates the information of different sensor modaliti…

Cited by 16SourceScholar