research
∙
09/14/2023
Learning Quasi-Static 3D Models of Markerless Deformable Linear Objects for Bimanual Robotic Manipulation
The robotic manipulation of Deformable Linear Objects (DLOs) is a vital ...
share
research
∙
02/27/2023
DLOFTBs – Fast Tracking of Deformable Linear Objects with B-splines
While the manipulation of rigid objects is an extensively explored resea...
research
∙
03/14/2022
Speeding up deep neural network-based planning of local car maneuvers via efficient B-spline path construction
This paper demonstrates how an efficient representation of the planned p...
research
∙
03/29/2021
Tuning of extended state observer with neural network-based control performance assessment
The extended state observer (ESO) is an inherent element of robust obser...
research
∙
12/11/2020
A New Neural Network Architecture Invariant to the Action of Symmetry Subgroups
We propose a computationally efficient G-invariant neural network that a...
research
∙
12/07/2020
Learning from Experience for Rapid Generation of Local Car Maneuvers
Being able to rapidly respond to the changing scenes and traffic situati...
research
∙
03/02/2020
A Self-Supervised Learning Approach to Rapid Path Planning for Car-Like Vehicles Maneuvering in Urban Environment
An efficient path planner for autonomous car-like vehicles should handle...
research
∙
03/02/2020
Gaining a Sense of Touch. Physical Parameters Estimation using a Soft Gripper and Neural Networks
Soft grippers are gaining significant attention in the manipulation of e...
research
∙
02/18/2020