2 citations · 3 across the 5 of their papers we have counts for
5 papers
Learning dynamics models for velocity estimation in autonomous racing
Jan Węgrzynowski, Grzegorz Czechmanowski, Piotr Kicki +1
Velocity estimation is of great importance in autonomous racing. Still, existing solutions are characterized by limited accuracy, especially in the case of aggressive driving or po…
Bridging the gap between Learning-to-plan, Motion Primitives and Safe Reinforcement Learning
Piotr Kicki, Davide Tateo, Puze Liu +3
Trajectory planning under kinodynamic constraints is fundamental for advanced robotics applications that require dexterous, reactive, and rapid skills in complex environments. Thes…
Learning Quasi-Static 3D Models of Markerless Deformable Linear Objects for Bimanual Robotic Manipulation
Piotr Kicki, Michał Bidziński, Krzysztof Walas
The robotic manipulation of Deformable Linear Objects (DLOs) is a vital and challenging task that is important in many practical applications. Classical model-based approaches to t…
DLOFTBs -- Fast Tracking of Deformable Linear Objects with B-splines
Piotr Kicki, Amadeusz Szymko, Krzysztof Walas
While manipulating rigid objects is an extensively explored research topic, deformable linear object (DLO) manipulation seems significantly underdeveloped. A potential reason for t…
Fast Kinodynamic Planning on the Constraint Manifold with Deep Neural Networks
Piotr Kicki, Puze Liu, Davide Tateo +4
Motion planning is a mature area of research in robotics with many well-established methods based on optimization or sampling the state space, suitable for solving kinematic motion…