Dynamically stable gait planning for a humanoid robot to climb sloping surface
In this paper, we formulate gait synthesis of humanoid biped locomotion as an optimization problem with consideration of some constraints, e.g. zero-moment point (ZMP) constraints for dynamically stable locomotion, internal forces constraints for smooth transition, geometric constraints for walking...
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creator | Changjiu Zhou Pik Kong Yue Jun Ni Shan-Ben Chan |
description | In this paper, we formulate gait synthesis of humanoid biped locomotion as an optimization problem with consideration of some constraints, e.g. zero-moment point (ZMP) constraints for dynamically stable locomotion, internal forces constraints for smooth transition, geometric constraints for walking on an uneven floor, e.g. sloping surface and etc. In the frame of gait synthesis tied with constraint functions, computational learning methods can be incorporated to further improve the gait. The effectiveness of the proposed dynamically stable gait planning and learning approach for humanoid walking on both even floor and sloping surface has been successfully tested on our humanoid soccer robots named Robo-Erectus, which won first place in the RoboCup 2003 Humanoid League Free Performance competition and got 4 silver awards in the RoboCup Humanoid League 2004. |
doi_str_mv | 10.1109/RAMECH.2004.1438942 |
format | Conference Proceeding |
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The effectiveness of the proposed dynamically stable gait planning and learning approach for humanoid walking on both even floor and sloping surface has been successfully tested on our humanoid soccer robots named Robo-Erectus, which won first place in the RoboCup 2003 Humanoid League Free Performance competition and got 4 silver awards in the RoboCup Humanoid League 2004.</description><identifier>ISBN: 0780386450</identifier><identifier>ISBN: 9780780386457</identifier><identifier>DOI: 10.1109/RAMECH.2004.1438942</identifier><language>eng</language><publisher>IEEE</publisher><subject>Constraint optimization ; Differential equations ; Humanoid robots ; Humans ; Legged locomotion ; Path planning ; Polynomials ; Robot kinematics ; Stability ; Welding</subject><ispartof>IEEE Conference on Robotics, Automation and Mechatronics, 2004, 2004, Vol.1, p.341-346 vol.1</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/1438942$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,4050,4051,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/1438942$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Changjiu Zhou</creatorcontrib><creatorcontrib>Pik Kong Yue</creatorcontrib><creatorcontrib>Jun Ni</creatorcontrib><creatorcontrib>Shan-Ben Chan</creatorcontrib><title>Dynamically stable gait planning for a humanoid robot to climb sloping surface</title><title>IEEE Conference on Robotics, Automation and Mechatronics, 2004</title><addtitle>RAMECH</addtitle><description>In this paper, we formulate gait synthesis of humanoid biped locomotion as an optimization problem with consideration of some constraints, e.g. zero-moment point (ZMP) constraints for dynamically stable locomotion, internal forces constraints for smooth transition, geometric constraints for walking on an uneven floor, e.g. sloping surface and etc. In the frame of gait synthesis tied with constraint functions, computational learning methods can be incorporated to further improve the gait. The effectiveness of the proposed dynamically stable gait planning and learning approach for humanoid walking on both even floor and sloping surface has been successfully tested on our humanoid soccer robots named Robo-Erectus, which won first place in the RoboCup 2003 Humanoid League Free Performance competition and got 4 silver awards in the RoboCup Humanoid League 2004.</description><subject>Constraint optimization</subject><subject>Differential equations</subject><subject>Humanoid robots</subject><subject>Humans</subject><subject>Legged locomotion</subject><subject>Path planning</subject><subject>Polynomials</subject><subject>Robot kinematics</subject><subject>Stability</subject><subject>Welding</subject><isbn>0780386450</isbn><isbn>9780780386457</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2004</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj11LwzAYRgMiqHO_YDf5A51vkjYfl6NOJ0wF0evxpk1mJG1K01303ztxz825ORx4CFkxWDMG5uFj87qtd2sOUK5ZKbQp-RW5A6VBaFlWcEOWOf_AecJIXqlb8vY499iFBmOcaZ7QRkePGCY6ROz70B-pTyNF-n3qsE-hpWOyaaJTok0MnaU5puHPyqfRY-PuybXHmN3ywgX5etp-1rti__78Um_2RWBQTYWWCtrGScssQ28YNK5iFqRWvDWtUwqVN9ICMM8RKuVRnOPaWW4UaOHFgqz-u8E5dxjG0OE4Hy6XxS9f0E2_</recordid><startdate>2004</startdate><enddate>2004</enddate><creator>Changjiu Zhou</creator><creator>Pik Kong Yue</creator><creator>Jun Ni</creator><creator>Shan-Ben Chan</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>2004</creationdate><title>Dynamically stable gait planning for a humanoid robot to climb sloping surface</title><author>Changjiu Zhou ; Pik Kong Yue ; Jun Ni ; Shan-Ben Chan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i105t-8670dce6b1b1af910ce51b06872d9de77a7f96b001f2a057fa3ace8eb297083f3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Constraint optimization</topic><topic>Differential equations</topic><topic>Humanoid robots</topic><topic>Humans</topic><topic>Legged locomotion</topic><topic>Path planning</topic><topic>Polynomials</topic><topic>Robot kinematics</topic><topic>Stability</topic><topic>Welding</topic><toplevel>online_resources</toplevel><creatorcontrib>Changjiu Zhou</creatorcontrib><creatorcontrib>Pik Kong Yue</creatorcontrib><creatorcontrib>Jun Ni</creatorcontrib><creatorcontrib>Shan-Ben Chan</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Changjiu Zhou</au><au>Pik Kong Yue</au><au>Jun Ni</au><au>Shan-Ben Chan</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Dynamically stable gait planning for a humanoid robot to climb sloping surface</atitle><btitle>IEEE Conference on Robotics, Automation and Mechatronics, 2004</btitle><stitle>RAMECH</stitle><date>2004</date><risdate>2004</risdate><volume>1</volume><spage>341</spage><epage>346 vol.1</epage><pages>341-346 vol.1</pages><isbn>0780386450</isbn><isbn>9780780386457</isbn><abstract>In this paper, we formulate gait synthesis of humanoid biped locomotion as an optimization problem with consideration of some constraints, e.g. zero-moment point (ZMP) constraints for dynamically stable locomotion, internal forces constraints for smooth transition, geometric constraints for walking on an uneven floor, e.g. sloping surface and etc. In the frame of gait synthesis tied with constraint functions, computational learning methods can be incorporated to further improve the gait. The effectiveness of the proposed dynamically stable gait planning and learning approach for humanoid walking on both even floor and sloping surface has been successfully tested on our humanoid soccer robots named Robo-Erectus, which won first place in the RoboCup 2003 Humanoid League Free Performance competition and got 4 silver awards in the RoboCup Humanoid League 2004.</abstract><pub>IEEE</pub><doi>10.1109/RAMECH.2004.1438942</doi></addata></record> |
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subjects | Constraint optimization Differential equations Humanoid robots Humans Legged locomotion Path planning Polynomials Robot kinematics Stability Welding |
title | Dynamically stable gait planning for a humanoid robot to climb sloping surface |
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