Tomáš Petříček

About Tomáš Petříček

Tomáš Petříček, With an exceptional h-index of 9 and a recent h-index of 8 (since 2020), a distinguished researcher at Ceské vysoké ucení technické v Praze, specializes in the field of computer vision, machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Self-Supervised Depth Correction of Lidar Measurements from Map Consistency Loss

Trajectory optimization using learned robot-terrain interaction model in exploration of large subterranean environments

System for multi-robotic exploration of underground environments ctu-cras-norlab in the darpa subterranean challenge

Pose consistency KKT-loss for weakly supervised learning of robot-terrain interaction model

Darpa subterranean challenge: Multi-robotic exploration of underground environments

Tomáš Petříček Information

University

Position

___

Citations(all)

480

Citations(since 2020)

322

Cited By

233

hIndex(all)

9

hIndex(since 2020)

8

i10Index(all)

9

i10Index(since 2020)

7

Email

University Profile Page

Google Scholar

Tomáš Petříček Skills & Research Interests

computer vision

machine learning

Top articles of Tomáš Petříček

Self-Supervised Depth Correction of Lidar Measurements from Map Consistency Loss

IEEE Robotics and Automation Letters

2023/6/20

Trajectory optimization using learned robot-terrain interaction model in exploration of large subterranean environments

IEEE Robotics and Automation Letters

2022/2/1

System for multi-robotic exploration of underground environments ctu-cras-norlab in the darpa subterranean challenge

arXiv preprint arXiv:2110.05911

2021/10/12

Pose consistency KKT-loss for weakly supervised learning of robot-terrain interaction model

IEEE Robotics and Automation Letters

2021/4/30

See List of Professors in Tomáš Petříček University(Ceské vysoké ucení technické v Praze)

Co-Authors

academic-engine