Tomas Krajnik

About Tomas Krajnik

Tomas Krajnik, With an exceptional h-index of 43 and a recent h-index of 33 (since 2020), a distinguished researcher at Ceské vysoké ucení technické v Praze, specializes in the field of Mobile Robotics, Cybernetics, Chronorobotics.

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

3D ToF LiDAR for Mobile Robotics in Harsh Environments: A Review

Unified robust path planning and optimal trajectory generation for efficient 3D area coverage of quadrotor UAVs

Self-Supervised Learning for Fusion of IR and RGB Images in Visual Teach and Repeat Navigation

Survey of maps of dynamics for mobile robots

Visual teach and generalise (VTAG)—Exploiting perceptual aliasing for scalable autonomous robotic navigation in horticultural environments

Real Time Fiducial Marker Localisation System with Full 6 DOF Pose Estimation

Mechatronic design for multi robots-insect swarms interactions

Multidimensional particle filter for long-term visual teach and repeat in changing environments

Tomas Krajnik Information

University

Position

Artificial Intelligence Center

Citations(all)

6035

Citations(since 2020)

3527

Cited By

3757

hIndex(all)

43

hIndex(since 2020)

33

i10Index(all)

90

i10Index(since 2020)

73

Email

University Profile Page

Google Scholar

Tomas Krajnik Skills & Research Interests

Mobile Robotics

Cybernetics

Chronorobotics

Top articles of Tomas Krajnik

3D ToF LiDAR for Mobile Robotics in Harsh Environments: A Review

2024/4/30

Unified robust path planning and optimal trajectory generation for efficient 3D area coverage of quadrotor UAVs

IEEE Transactions on Intelligent Transportation Systems

2023/10/17

Self-Supervised Learning for Fusion of IR and RGB Images in Visual Teach and Repeat Navigation

2023/9/4

Visual teach and generalise (VTAG)—Exploiting perceptual aliasing for scalable autonomous robotic navigation in horticultural environments

Computers and Electronics in Agriculture

2023/9/1

Real Time Fiducial Marker Localisation System with Full 6 DOF Pose Estimation

ACM SIGAPP Applied Computing Review

2023/4/20

Multidimensional particle filter for long-term visual teach and repeat in changing environments

IEEE Robotics and Automation Letters

2023/2/13

Towards Long-term Autonomy: A Perspective from Robot Learning

arXiv preprint arXiv:2212.12798

2022/12/24

Federated reinforcement learning for collective navigation of robotic swarms

IEEE Transactions on cognitive and developmental systems

2023/1/25

Reinforcement learning-based aggregation for robot swarms

Adaptive Behavior

2023/1/1

Embedding weather simulation in auto-labelling pipelines improves vehicle detection in adverse conditions

Sensors

2022/11/16

Performance comparison of visual teach and repeat systems for mobile robots

2022/10/20

Robotic Replicants for Improving Queen Bee Health and Persistence of the Honey Bee Colony

2022/8/28

Toward benchmarking of long-term spatio-temporal maps of pedestrian flows for human-aware navigation

Frontiers in Robotics and AI

2022/7/4

A minimally invasive approach towards “ecosystem hacking” with honeybees

Frontiers in Robotics and AI

2022/4/28

Semi-supervised learning for image alignment in teach and repeat navigation

2022/4/25

Towards fast fiducial marker with full 6 dof pose estimation

2022/4/25

Bootstrapped learning for car detection in planar lidars

2022/4/25

See List of Professors in Tomas Krajnik University(Ceské vysoké ucení technické v Praze)

Co-Authors

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