Ahmed Sadik, Sebastian Brulin, Markus Olhofer,
"CODING BY DESIGN: GPT-4 EMPOWERS AGILE MODEL DRIVEN DEVELOPMENT",
arxiv, 2023.
Abstract
Generating code from a natural language using Large Language Models (LLMs) such as ChatGPT, seems groundbreaking. Yet, with more extensive use, it's evident that this approach has its own limitations. The inherent ambiguity of natural language presents challenges for complex software designs. Accordingly, our research offers an Agile Model-Driven Development (MDD) approach that enhances code auto-generation using OpenAI's GPT-4. Our work emphasiz...
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Sebastian Brulin, Mariusz Bujny, Tim Puphal, Stefan Menzel,
"Data-driven Evolutionary Optimization of eVTOL Design Concepts based on Multi-agent Simulations",
American Institute of Aeronautics and Astronautics SciTech Forum, 2023.
Abstract
Electric vertical take-off and landing (eVTOL) aircraft design concepts are currently developed by many companies and research consortia. A relevant topic in the design process is very early on the optimal vehicle specification to maximize the operational profit of the fleet. This paper proposes a novel method that combines open vehicle design concepts with an Evolutionary Algorithm optimization scheme to find the optimal aircraft specifications,...
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Tim Puphal,
"Improved Behavior Planning with Cooperation and Group-awareness",
IEEE International Conference on Intelligent Transportation Systems, 2023.
Abstract
Invited talk about Risk Maps planning in the workshop "Probabilistic Prediction and Comprehensible Motion Planning for Automated Vehicles – Approaches and Benchmarking" at the International Conference on Intelligent Transportation Systems (ITSC 2023).
Recent works on intelligent driving by improved behavior planning with cooperation and group-awareness was presented.
You can find more information about the workshop here: https://kit-mrt.githu...
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Hua-Ming Huang, Elena Raponi, Fabian Duddeck, Stefan Menzel, Mariusz Bujny,
"Topology Optimization of Periodic Structures for Crash and Static Load Cases using the Evolutionary Level Set Method",
Optimization and Engineering, 2023.
Abstract
Assembly complexity and manufacturing costs of engineering structures can be significantly reduced by using periodic mechanical components, which are defined by combining multiple identical unit cells into a global topology. Additionally, the superior energy-absorbing properties of lattice-based periodic structures can potentially enhance the overall performance in crash-related applications. Recent research developments in periodic topology opti...
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Nico Steinhardt, Raphael Wenzel, Malte Probst , Markus Amann,
"Lateral Model Predictive Control for Autonomous Vehicle Prototypes",
IFAC World Congress 2023, 2023.
Abstract
This paper shows a (lateral) Model Predictive Control (MPC) implementation on an Autonomous Driving (AD) prototype. Rapid prototyping and testing of AD functions in a realistic environment is a crucial step to understanding the advantages and shortcomings of algorithms in research and development of AD. Prototype vehicles show a specific set of requirements which differ from the control deployed in the final products. Vehicles are equipped with s...
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Radu Stoican, Angelo Cangelosi, Thomas Weisswange,
"MEWA: A Benchmark For Meta-Learning in Collaborative Working Agents",
IEEE Symposium Series on Computational Intelligence (SSCI 2023), 2023.
Abstract
Meta-reinforcement learning aims to overcome important limitations in reinforcement learning, like low sample
efficiency and poor generalization, by creating agents that adapt to new tasks. The development of intelligent robots would benefit
from such agents. Long-standing issues like data collection and generalization to real-world dynamic environments could be
mitigated by sample-efficient adaptable algorithms. However, most such algorithms ...
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Frank Joublin and Antonello Ceravola,
"CoPAL: Corrective Planning of Robot Actions with Large Language Models",
Artificial Intelligence Meetup Frankfurt, 2023.
Abstract
Introduction of HRI-EU at AI Meetup Frankfurt and presentation of the research done on a robotic system using Large Language Models (LLMs) for task and motion planning. The architecture combines reasoning, planning, and motion, with a special focus on correcting plan errors. Its efficiency is tested in simulations and real-world tasks for tasks like block arrangement, cocktail and pizza preparation....
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Christiane Wiebel,
"Investigating Human-Machine Cooperation",
Colloquium at the Center for Cognitive Science (TU Darmstadt), 2023.
Abstract
Intelligent systems have become prevalent in everyday life and keep developing at a high pace. Many of these systems do not act autonomously but operate in interaction with human users. Recent HMI research has hypothesized that such an interaction between human and machine is best reached by designing the system to behave cooperatively towards the human user (Bengler, 2012, Bütepage, 2017, Krüger, 2018, Sendhoff, 2020). In this talk, I will int...
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Tim Puphal, Ryohei Hirano, Raphael Wenzel, Malte Probst , Akihito Kimata,
"Considering Human Factors in Risk Maps for Robust and Foresighted Driver Warning",
IEEE International Symposium on Robot and Human Interactive Communication, 2023.
Abstract
Driver support systems that include human states in the support process is an active research field. Many recent approaches allow, for example, to sense the driver’s drowsiness or awareness of the driving situation. However, so far, this rich information has not been utilized much for improving the effectiveness of support systems. In this paper, we therefore propose a warning system that uses human states in the form of driver errors and can w...
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Sandra Ittner, Dominik Mühlbacher, Mark Vollrath, Thomas Weisswange,
"Co-DAS: Developing a Co-Driver Assistance System to Reduce Passenger Discomfort ",
Frontiers in Psychology, vol. 14, pp. 17, 2023.
Abstract
The front seat passenger is often neglected when developing support systems for cars. There exist few examples of systems that provide information or interaction possibilities specifically to those passengers. Previous research indicated that the passive role of the passenger can frequently lead to a feeling of discomfort, potentially caused by missing information and missing control with respect to the driving situation. This paper proposes a va...
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