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Pregled bibliografske jedinice broj: 1023750

Analytically-founded yaw control algorithm for walking on uneven terrain applied to a hexapod robot


Fućek, Luka; Kovačić, Zdenko; Bogdan, Stjepan
Analytically-founded yaw control algorithm for walking on uneven terrain applied to a hexapod robot // International journal of advanced robotic systems, 16 (2019), 3; 1-15 doi:10.1177/1729881419857997 (međunarodna recenzija, članak, znanstveni)


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Naslov
Analytically-founded yaw control algorithm for walking on uneven terrain applied to a hexapod robot

Autori
Fućek, Luka ; Kovačić, Zdenko ; Bogdan, Stjepan

Izvornik
International journal of advanced robotic systems (1729-8806) 16 (2019), 3; 1-15

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Legged robot, hexapod robot, yaw control, uneven terrain, walking gait adaptation

Sažetak
This article presents a new control algorithm for the omnidirectional motion of a legged robot on uneven terrain based on an analytical kinematic solution without the use of Jacobians. In order to control the robot easily and efficiently in all situations, a simplified circle-based workspace approximation has been introduced. Foot trajectories for legged robot movement were generated on concentric circular paths around an analytically computed common centre of motion. This systematic motion model, together with new gait control variables that can be changed during legged robot motion, enabled the implementation of a new adaptive gait phase control algorithm, as well as the addition of algorithms for ground-level adaptation, 3-dimensional map-based step adjustment and fusion of all corrections to establish and/or maintain foot contact with the ground. The method being applicable to different legged robot designs was performed and tested on the laboratory prototype of a hexagonal hexapod robot, and the results of the experiments showed the practical value of the proposed adaptive yaw control method (available also as a video supplement).

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Temeljne tehničke znanosti



POVEZANOST RADA


Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Zdenko Kovačić (autor)

Avatar Url Stjepan Bogdan (autor)

Poveznice na cjeloviti tekst rada:

doi

Citiraj ovu publikaciju:

Fućek, Luka; Kovačić, Zdenko; Bogdan, Stjepan
Analytically-founded yaw control algorithm for walking on uneven terrain applied to a hexapod robot // International journal of advanced robotic systems, 16 (2019), 3; 1-15 doi:10.1177/1729881419857997 (međunarodna recenzija, članak, znanstveni)
Fućek, L., Kovačić, Z. & Bogdan, S. (2019) Analytically-founded yaw control algorithm for walking on uneven terrain applied to a hexapod robot. International journal of advanced robotic systems, 16 (3), 1-15 doi:10.1177/1729881419857997.
@article{article, author = {Fu\'{c}ek, Luka and Kova\v{c}i\'{c}, Zdenko and Bogdan, Stjepan}, year = {2019}, pages = {1-15}, DOI = {10.1177/1729881419857997}, keywords = {Legged robot, hexapod robot, yaw control, uneven terrain, walking gait adaptation}, journal = {International journal of advanced robotic systems}, doi = {10.1177/1729881419857997}, volume = {16}, number = {3}, issn = {1729-8806}, title = {Analytically-founded yaw control algorithm for walking on uneven terrain applied to a hexapod robot}, keyword = {Legged robot, hexapod robot, yaw control, uneven terrain, walking gait adaptation} }
@article{article, author = {Fu\'{c}ek, Luka and Kova\v{c}i\'{c}, Zdenko and Bogdan, Stjepan}, year = {2019}, pages = {1-15}, DOI = {10.1177/1729881419857997}, keywords = {Legged robot, hexapod robot, yaw control, uneven terrain, walking gait adaptation}, journal = {International journal of advanced robotic systems}, doi = {10.1177/1729881419857997}, volume = {16}, number = {3}, issn = {1729-8806}, title = {Analytically-founded yaw control algorithm for walking on uneven terrain applied to a hexapod robot}, keyword = {Legged robot, hexapod robot, yaw control, uneven terrain, walking gait adaptation} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati:





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