3 citations · 4 across the 3 of their papers we have counts for
3 papers
StateVLM: A State-Aware Vision-Language Model for Robotic Affordance Reasoning
Xiaowen Sun, Matthias Kerzel, Mengdi Li +3
Vision-language models have demonstrated strong performance across robotic perception and instruction-following tasks. However, they still struggle with precise spatial reasoning,…
Towards Bio-Inspired Robotic Trajectory Planning via Self-Supervised RNN
Miroslav Cibula, Kristína Malinovská, Matthias Kerzel
Trajectory planning in robotics is understood as generating a sequence of joint configurations that will lead a robotic agent, or its manipulator, from an initial state to the desi…
Learning Low-Level Causal Relations using a Simulated Robotic Arm
Miroslav Cibula, Matthias Kerzel, Igor Farkaš
Causal learning allows humans to predict the effect of their actions on the known environment and use this knowledge to plan the execution of more complex actions. Such knowledge a…