Search Results for author: Philipp Allgeuer

Found 6 papers, 4 papers with code

Comparing Apples to Oranges: LLM-powered Multimodal Intention Prediction in an Object Categorization Task

no code implementations12 Apr 2024 Hassan Ali, Philipp Allgeuer, Stefan Wermter

Intention-based Human-Robot Interaction (HRI) systems allow robots to perceive and interpret user actions to proactively interact with humans and adapt to their behavior.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +3

CycleIK: Neuro-inspired Inverse Kinematics

1 code implementation21 Jul 2023 Jan-Gerrit Habekost, Erik Strahl, Philipp Allgeuer, Matthias Kerzel, Stefan Wermter

The paper introduces CycleIK, a neuro-robotic approach that wraps two novel neuro-inspired methods for the inverse kinematics (IK) task, a Generative Adversarial Network (GAN), and a Multi-Layer Perceptron architecture.

Generative Adversarial Network

Learning to Autonomously Reach Objects with NICO and Grow-When-Required Networks

no code implementations14 Oct 2022 Nima Rahrakhshan, Matthias Kerzel, Philipp Allgeuer, Nicolas Duczek, Stefan Wermter

The act of reaching for an object is a fundamental yet complex skill for a robotic agent, requiring a high degree of visuomotor control and coordination.

Object

NimbRo Robots Winning RoboCup 2018 Humanoid AdultSize Soccer Competitions

1 code implementation5 Sep 2019 Hafez Farazi, Grzegorz Ficht, Philipp Allgeuer, Dmytro Pavlichenko, Diego Rodriguez, Andre Brandenburger, Mojtaba Hosseini, Sven Behnke

Over the past few years, the Humanoid League rules have changed towards more realistic and challenging game environments, which encourage teams to advance their robot soccer performances.

Robotics

NimbRo-OP2X: Adult-sized Open-source 3D Printed Humanoid Robot

1 code implementation19 Oct 2018 Grzegorz Ficht, Hafez Farazi, André Brandenburger, Diego Rodriguez, Dmytro Pavlichenko, Philipp Allgeuer, Mojtaba Hosseini, Sven Behnke

Humanoid robotics research depends on capable robot platforms, but recently developed advanced platforms are often not available to other research groups, expensive, dangerous to operate, or closed-source.

Robotics

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