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researcher

Marco Hutter

13 papers hereh-index 10337 citations14 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4
  • last author8

Across the 12 of 13 papers where every author was matched, so the position is known.

fields
  • cs.RO12
  • cs.LG1
same name
  • Marco Hutter — 88 papers, h 80
  • Marco Hutter — 23 papers, h 6
  • Marco Hutter — 19 papers, h 8
  • Marco Hutter — 17 papers, h 8
  • Marco Hutter — 15 papers, h 9
  • Marco Hutter — 14 papers, h 10

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedLearning Agile Locomotion on Risky Terrains

2 citations · 9 across the 11 of their papers we have counts for

collaborators
Showing 2023 · cs.ROShow all

4 papers · 2 filters

cs.RO2023★ 2 cited

Learning Agile Locomotion on Risky Terrains

Chong Zhang, Nikita Rudin, David Hoeller +1

Quadruped robots have shown remarkable mobility on various terrains through reinforcement learning. Yet, in the presence of sparse footholds and risky terrains such as stepping sto…

cs.RO2023

Resilient Legged Local Navigation: Learning to Traverse with Compromised Perception End-to-End

Jin Jin, Chong Zhang, Jonas Frey +4

Autonomous robots must navigate reliably in unknown environments even under compromised exteroceptive perception, or perception failures. Such failures often occur when harsh envir…

cs.RO2023★ 1 cited

MEM: Multi-Modal Elevation Mapping for Robotics and Learning

Gian Erni, Jonas Frey, Takahiro Miki +2

Elevation maps are commonly used to represent the environment of mobile robots and are instrumental for locomotion and navigation tasks. However, pure geometric information is insu…

cs.RO2023

Learning Risk-Aware Quadrupedal Locomotion using Distributional Reinforcement Learning

Lukas Schneider, Jonas Frey, Takahiro Miki +1

Deployment in hazardous environments requires robots to understand the risks associated with their actions and movements to prevent accidents. Despite its importance, these risks a…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.