Vinzenz Bargsten

University of Bremen, German Research Centre for Artificial Intelligence

论文数

11

总引用数

213

H-Index

6

关于

暂无简介。

研究焦点

Computer science11 · 213 次引用

Artificial intelligence11 · 213 次引用

Engineering10 · 211 次引用

Robot10 · 211 次引用

Control engineering7 · 190 次引用

Controller (irrigation)4 · 150 次引用

Robotic arm3 · 128 次引用

Simulation4 · 126 次引用

Human–computer interaction4 · 104 次引用

Factory (object-oriented programming)2 · 99 次引用

Human–robot interaction2 · 99 次引用

Industrial robot2 · 99 次引用

主要成就

6

H 指数

11

论文

213

总引用数

19

篇均引用

🏆 最高被引论文

Multimodal sensor-based whole-body control for human–robot collaboration in industrial settings

83 次引用 · 2017

📈 最高产年份: 2017 (2 论文)

🤝 主要合作者: 30

🏛 所属机构: University of Bremen, German Research Centre for Artificial Intelligence

代表论文

1
Multimodal sensor-based whole-body control for human–robot collaboration in industrial settings
83 次引用 · 2017
2
Modeling, parameter identification and model-based control of a lightweight robotic manipulator
40 次引用 · 2013
3
Design, Modelling and Control of Novel Series-Elastic Actuators for Industrial Robots
29 次引用 · 2020
4
Design, analysis and control of the series-parallel hybrid RH5 humanoid robot
24 次引用 · 2021
5
iMRK: Demonstrator for Intelligent and Intuitive Human–Robot Collaboration in Industrial Manufacturing
16 次引用 · 2017
6
Experimental Robot Inverse Dynamics Identification Using Classical and Machine Learning Techniques
9 次引用 · 2016
7
DESIGNING MODULAR SERIES-ELASTIC ACTUATORS FOR SAFE HUMAN-ROBOT COLLABORATION IN INDUSTRIAL SETTINGS
3 次引用 · 2016
8
Design, analysis and control of the series-parallel hybrid RH5 humanoid robot
3 次引用 · 2021
9
Actuator-level motion and contact episode learning and classification using adaptive resonance theory
2 次引用 · 2023
10
Continuous Learning of Contact Episodes from Proprioceptive Sensors in Industrial Assembly Scenarios Using Adaptive Resonance Theory
2 次引用 · 2025

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