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Alexander Herzog

22 papers hereh-index 2212.3k citations35 works total

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

author position
  • first author5
  • middle author16
  • last author1

Across the 22 of 22 papers where every author was matched, so the position is known.

fields
  • cs.RO19
  • cs.LG3
same name
  • Alexander Herzog — 5 papers, h 2
  • Alexander Herzog — 5 papers, h 6
  • Alexander Herzog — 4 papers, h 1
  • Alexander Herzog — 3 papers, h 7
  • Alexander Herzog — 2 papers, h 4
  • Alexander Herzog — 1 paper, h 2

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
20132023
most citedQT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

713 citations · 2.3k across the 20 of their papers we have counts for

collaborators
Showing 2017Show all

4 papers · 1 filter

cs.RO2017★ 7 cited

Learning a Structured Neural Network Policy for a Hopping Task

Julian Viereck, Jules Kozolinsky, Alexander Herzog +1

In this work we present a method for learning a reactive policy for a simple dynamic locomotion task involving hard impact and switching contacts where we assume the contact locati…

cs.RO2017

On Time Optimization of Centroidal Momentum Dynamics

Brahayam Ponton, Alexander Herzog, Andrea Del Prete +2

Recently, the centroidal momentum dynamics has received substantial attention to plan dynamically consistent motions for robots with arms and legs in multi-contact scenarios. Howev…

cs.RO2017

Pattern Generation for Walking on Slippery Terrains

Majid Khadiv, S. Ali A. Moosavian, Alexander Herzog +1

In this paper, we extend state of the art Model Predictive Control (MPC) approaches to generate safe bipedal walking on slippery surfaces. In this setting, we formulate walking as…

cs.RO2017

Walking Control Based on Step Timing Adaptation

Majid Khadiv, Alexander Herzog, S. Ali A. Moosavian +1

Step adjustment can improve the gait robustness of biped robots, however the adaptation of step timing is often neglected as it gives rise to non-convex problems when optimized ove…

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