Brokoslaw Laschowski — accepted AI-conference papers

2023

Continuous Prediction of Leg Kinematics during Walking using Inertial Sensors, Smart Glasses, and Embedded Computing

Oleksii Tsepa, Roman Burakov, Brokoslaw Laschowski, Alex Mihailidis

ICRA 2023poster

Unlike traditional hierarchical controllers for robotic leg prostheses and exoskeletons, continuous systems could allow persons with mobility impairments to walk more naturally in real-world environments without requiring high-level switching between locomotion modes. To support these next-generatio…

Cited by 14 Source ↗Scholar ↗

2023

Efficient Visual Perception of Human-Robot Walking Environments Using Semi-Supervised Learning

Dmytro Kuzmenko, Oleksii Tsepa, Andrew Garrett Kurbis, Alex Mihailidis, Brokoslaw Laschowski

IROS 2023poster

Convolutional neural networks trained using supervised learning can improve visual perception for human-robot walking. These advances have been possible due to largescale datasets like ExoNet and StairNet - the largest open-source image datasets of real-world walking environments. However, these dat…

Cited by 9 Source ↗Scholar ↗