Výsledky vyhledávání - "Gerhard Neumann"

Akademický článek

Autonomous Robots for Space: Trajectory Learning and Adaptation Using Imitation

Autor: R. B. Ashith Shyam, Zhou Hao, Umberto Montanaro, Shilp Dixit, Arunkumar Rathinam, Yang Gao, Gerhard Neumann, Saber Fallah

Publikováno v: Frontiers in Robotics and AI, Vol 8 (2021)

This paper adds on to the on-going efforts to provide more autonomy to space robots and introduces the concept of programming by demonstration or imitation learning for trajectory planning of manipulators on free-floating spacecraft. A redundant 7-Do

Externí odkaz: https://doaj.org/article/1f6944a5d2d7433a9e7bc01dcf134073

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Akademický článek

Deep Reinforcement Learning for Attacking Wireless Sensor Networks

Autor: Juan Parras, Maximilian Hüttenrauch, Santiago Zazo, Gerhard Neumann

Publikováno v: Sensors, Vol 21, Iss 12, p 4060 (2021)

Recent advances in Deep Reinforcement Learning allow solving increasingly complex problems. In this work, we show how current defense mechanisms in Wireless Sensor Networks are vulnerable to attacks that use these advances. We use a Deep Reinforcemen

Externí odkaz: https://doaj.org/article/29041fa180634856946d270fa96822d0

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Akademický článek

Sim-to-Real Quadrotor Landing via Sequential Deep Q-Networks and Domain Randomization

Autor: Riccardo Polvara, Massimiliano Patacchiola, Marc Hanheide, Gerhard Neumann

Publikováno v: Robotics, Vol 9, Iss 1, p 8 (2020)

The autonomous landing of an Unmanned Aerial Vehicle (UAV) on a marker is one of the most challenging problems in robotics. Many solutions have been proposed, with the best results achieved via customized geometric features and external sensors. This

Externí odkaz: https://doaj.org/article/c001329452044dd7beea211b0d4fbfab

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Akademický článek

Directly Printable Flexible Strain Sensors for Bending and Contact Feedback of Soft Actuators

Autor: Khaled Elgeneidy, Gerhard Neumann, Michael Jackson, Niels Lohse

Publikováno v: Frontiers in Robotics and AI, Vol 5 (2018)

This paper presents a fully printable sensorized bending actuator that can be calibrated to provide reliable bending feedback and simple contact detection. A soft bending actuator following a pleated morphology, as well as a flexible resistive strain

Externí odkaz: https://doaj.org/article/a2afa37378b84d889a88d84994ebcff2

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