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Towards lifelong assistive robotics: a tight coupling between object perception and manipulation
Towards behaviour inference in smart environments
To Perform Road Signs Recognition for Autonomous Vehicles Using Cascaded Deep Learning Pipeline
Tool Use Learning for a Real Robot
The Body is Not a Given: Joint Agent Policy Learning and Morphology Evolution
Synthesizing and Editing Human Motion from Sparse User Inputs ; 적은 수의 사용자 입력으로부터 인간 동작의 합성 및 편집
SUST-DDD: A Real-Drive Dataset for Driver Drowsiness Detection
Sustainable Task Offloading in UAV Networks via Multi-Agent Reinforcement Learning
Study of the anchoring problem in generalist robots based on ROSPlan
Spatial representation for planning and executing robot behaviors in complex environments
SocialMedia2Traffic : Abschlussbericht
Smart Event Forecast for Seaports (SMECS) : Schlussbericht : Projektlaufzeit: 01.09.2017-29.02.2020
Sliding-Mode-Lernverfahren für neuronale Netzwerke in adaptiven Regelungssystemen