Martin Pecka

About Martin Pecka

Martin Pecka, 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 reinforcement learning, safe exploration.

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

MonoForce: Self-supervised learning of physics-aware grey-box model for predicting the robot-terrain interaction

System for multi-robotic exploration of underground environments CTU-CRAS-NORLAB in the DARPA Subterranean Challenge

UAVs beneath the surface: Cooperative autonomy for subterranean search and rescue in DARPA SubT

Darpa subterranean challenge: Multi-robotic exploration of underground environments

Martin Pecka Information

University

Position

___

Citations(all)

402

Citations(since 2020)

344

Cited By

136

hIndex(all)

9

hIndex(since 2020)

8

i10Index(all)

8

i10Index(since 2020)

8

Email

University Profile Page

Google Scholar

Martin Pecka Skills & Research Interests

reinforcement learning

safe exploration

Top articles of Martin Pecka

MonoForce: Self-supervised learning of physics-aware grey-box model for predicting the robot-terrain interaction

arXiv preprint arXiv:2309.09007

2023/9/16

System for multi-robotic exploration of underground environments CTU-CRAS-NORLAB in the DARPA Subterranean Challenge

arXiv preprint arXiv:2110.05911

2021/10/12

Martin Pecka
Martin Pecka

H-Index: 5

Jan Bayer
Jan Bayer

H-Index: 4

UAVs beneath the surface: Cooperative autonomy for subterranean search and rescue in DARPA SubT

arXiv preprint arXiv:2206.08185

2022/6/16

See List of Professors in Martin Pecka University(Ceské vysoké ucení technické v Praze)

Co-Authors

academic-engine