4 citations · 7 across the 6 of their papers we have counts for
8 papers
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…
Learning an Efficient Terrain Representation for Haptic Localization of a Legged Robot
Damian Sójka, Michał R. Nowicki, Piotr Skrzypczyński
Although haptic sensing has recently been used for legged robot localization in extreme environments where a camera or LiDAR might fail, the problem of efficiently representing the…
Speeding up deep neural network-based planning of local car maneuvers via efficient B-spline path construction
Piotr Kicki, Piotr Skrzypczyński
This paper demonstrates how an efficient representation of the planned path using B-splines, and a construction procedure that takes advantage of the neural network's inductive bia…
On the descriptive power of LiDAR intensity images for segment-based loop closing in 3-D SLAM
Jan Wietrzykowski, Piotr Skrzypczyński
We propose an extension to the segment-based global localization method for LiDAR SLAM using descriptors learned considering the visual context of the segments. A new architecture…
A New Neural Network Architecture Invariant to the Action of Symmetry Subgroups
Piotr Kicki, Mete Ozay, Piotr Skrzypczyński
We propose a computationally efficient -invariant neural network that approximates functions invariant to the action of a given permutation subgroup of the symmetri…
Learning from Experience for Rapid Generation of Local Car Maneuvers
Piotr Kicki, Tomasz Gawron, Krzysztof Ćwian +2
Being able to rapidly respond to the changing scenes and traffic situations by generating feasible local paths is of pivotal importance for car autonomy. We propose to train a deep…