KI - Künstliche Intelligenz

Permanent URI for this communityhttps://dl.gi.de/handle/20.500.12116/11025

The Scientific journal "KI – Künstliche Intelligenz" is the official journal of the division for artificial intelligence within the "Gesellschaft für Informatik e.V." (GI) – the German Informatics Society – with contributions from throughout the field of artificial intelligence. The journal presents all relevant aspects of artificial intelligence – the fundamentals and tools, their use and adaptation for scientific purposes, and applications which are implemented using AI methods – and thus provides the reader with the latest developments in and well-founded background information on all relevant aspects of artificial intelligence. For all members of the AI community the journal provides quick access to current topics in the field and promotes vital interdisciplinary interchange.

Authors with most Documents  

Visser, Ubbo
21
Ragni, Marco
13
Richter, Kai-Florian
12
Sonntag, Daniel
12
Beetz, Michael
11

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Author: search.filters.author.Visser, Ubbo

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1 - 10 of 21
  • Journal Article
    Inflation?
    (Springer, 2022) Visser, Ubbo
  • Journal Article
    Our Software Production is Still Some Sort of Hacking
    (Springer, 2020) Visser, Ubbo
  • Journal Article
    ITP: Inverse Trajectory Planning for Human Pose Prediction
    (Springer, 2020) Peña, Pedro A.; Visser, Ubbo
    Tracking and predicting humans in three dimensional space in order to know the location and heading of the human in the environment is a difficult task. Though if solved it will allow a robotic agent to know where it can safely be and navigate the environment without imposing any danger to the human that it is interacting with. We propose a novel probabilistic framework for robotic systems in which multiple models can be fused into a circular probabilitymap to forecast human poses. We developed and implemented the framework and tested it on Toyota’s HSR robot and Waymo Open Dataset. Our experiments show promising results.
  • Journal
    AI and Robotics for the Human Brain Project II
    (Springer Nature, 2018) Visser, Ubbo
  • Journal
    Robots in Committees
    (Springer Nature, 2018) Visser, Ubbo
  • Journal Article
    AI and Robotics: RoboCup Evolution
    (Springer, 2016) Visser, Ubbo
  • Journal Article
    An Adaptive LIPM-based Dynamic Walk using Model Parameter Optimization on Humanoid Robots
    (Springer, 2016) Seekircher, Andreas; Visser, Ubbo
    Even with the recent advances in the area of dynamic walking on humanoid robots there is still a significant amount of manual calibration required in practice due to the variances in the hardware. That is in order to achieve the performance needed in environments such as RoboCup. We present a LIPM-based closed-loop walk, that adapts to differences in the physical behavior of the robot by optimizing parameters of the model directly on the NAO while walking and executing other tasks. A significant amount of errors in the model predictions can be reduced without using a more complex model simply by adjusting the LIPM to fit the observed behavior. Our experiments show that the optimized model yields a more controlled, faster and even more energy-efficient walk on different NAO robots and on various surfaces without additional manual parameter tuning.
  • Journal Article
    20 Years of RoboCup
    (Springer, 2016) Visser, Ubbo
  • Journal Article
  • Journal Article
    KI Fachbereichspolitik und Künstliche Kognitive Systeme
    (Springer, 2015) Visser, Ubbo