Human-Inspired Balancing and Recovery Stepping for Humanoid Robots
Robustly maintaining balance on two legs is an important challenge for humanoid robots. The work presented in this book represents a contribution to this area. It investigates efficient methods for the decision-making from internal sensors about whether and where to step, several improvements to eff...
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic Book Chapter |
| Language: | English |
| Published: |
KIT Scientific Publishing
2019
|
| Series: | Karlsruhe Series on Humanoid Robotics
|
| Subjects: | |
| Online Access: | DOAB: download the publication DOAB: description of the publication |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
MARC
| LEADER | 00000naaaa2200000uu 4500 | ||
|---|---|---|---|
| 001 | doab_20_500_12854_49648 | ||
| 005 | 20210211 | ||
| 003 | oapen | ||
| 006 | m o d | ||
| 007 | cr|mn|---annan | ||
| 008 | 20210211s2019 xx |||||o ||| 0|eng d | ||
| 020 | |a KSP/1000091605 | ||
| 020 | |a 9783731509035 | ||
| 040 | |a oapen |c oapen | ||
| 024 | 7 | |a 10.5445/KSP/1000091605 |c doi | |
| 041 | 0 | |a eng | |
| 042 | |a dc | ||
| 100 | 1 | |a Kaul, Lukas Sebastian |4 auth | |
| 245 | 1 | 0 | |a Human-Inspired Balancing and Recovery Stepping for Humanoid Robots |
| 260 | |b KIT Scientific Publishing |c 2019 | ||
| 300 | |a 1 electronic resource (X, 235 p. p.) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Karlsruhe Series on Humanoid Robotics | |
| 506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
| 520 | |a Robustly maintaining balance on two legs is an important challenge for humanoid robots. The work presented in this book represents a contribution to this area. It investigates efficient methods for the decision-making from internal sensors about whether and where to step, several improvements to efficient whole-body postural balancing methods, and proposes and evaluates a novel method for efficient recovery step generation, leveraging human examples and simulation-based reinforcement learning. | ||
| 540 | |a Creative Commons |f https://creativecommons.org/licenses/by-sa/4.0/ |2 cc |4 https://creativecommons.org/licenses/by-sa/4.0/ | ||
| 546 | |a English | ||
| 653 | |a Maschinelles Lernen | ||
| 653 | |a Balancing | ||
| 653 | |a Optimierung | ||
| 653 | |a Regelungstechnik | ||
| 653 | |a Machine learning | ||
| 653 | |a Balancieren | ||
| 653 | |a Control systems | ||
| 653 | |a Humanoide Robotik | ||
| 653 | |a Humanoid robotics | ||
| 653 | |a Optimization | ||
| 856 | 4 | 0 | |a www.oapen.org |u https://www.ksp.kit.edu/9783731509035 |7 0 |z DOAB: download the publication |
| 856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/49648 |7 0 |z DOAB: description of the publication |