3 papers
cs.RO2026
Self-Supervised Bio-Inspired Robotic Trajectory Planning with Obstacle Avoidance
Miroslav Krupa, Miroslav Cibula, KristÃna Malinovská
Trajectory planning is a fundamental problem in robotics, requiring the generation of collision-free and efficient trajectories in a potentially complex environment. While sampling…
cs.RO2025
Towards Bio-Inspired Robotic Trajectory Planning via Self-Supervised RNN
Miroslav Cibula, KristÃna 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…
cs.RO2024
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…