{"title":"多机器人连接实现集体穿越障碍物区域","authors":"Haodi Hu, Xingjue Liao, Wuhao Du, Feifei Qian","doi":"arxiv-2409.11709","DOIUrl":null,"url":null,"abstract":"Environments with large terrain height variations present great challenges\nfor legged robot locomotion. Drawing inspiration from fire ants' collective\nassembly behavior, we study strategies that can enable two ``connectable''\nrobots to collectively navigate over bumpy terrains with height variations\nlarger than robot leg length. Each robot was designed to be extremely simple,\nwith a cubical body and one rotary motor actuating four vertical peg legs that\nmove in pairs. Two or more robots could physically connect to one another to\nenhance collective mobility. We performed locomotion experiments with a\ntwo-robot group, across an obstacle field filled with uniformly-distributed\nsemi-spherical ``boulders''. Experimentally-measured robot speed suggested that\nthe connection length between the robots has a significant effect on collective\nmobility: connection length C in [0.86, 0.9] robot unit body length (UBL) were\nable to produce sustainable movements across the obstacle field, whereas\nconnection length C in [0.63, 0.84] and [0.92, 1.1] UBL resulted in low\ntraversability. An energy landscape based model revealed the underlying\nmechanism of how connection length modulated collective mobility through the\nsystem's potential energy landscape, and informed adaptation strategies for the\ntwo-robot system to adapt their connection length for traversing obstacle\nfields with varying spatial frequencies. Our results demonstrated that by\nvarying the connection configuration between the robots, the two-robot system\ncould leverage mechanical intelligence to better utilize obstacle interaction\nforces and produce improved locomotion. Going forward, we envision that\ngeneralized principles of robot-environment coupling can inform design and\ncontrol strategies for a large group of small robots to achieve ant-like\ncollective environment negotiation.","PeriodicalId":501031,"journal":{"name":"arXiv - CS - Robotics","volume":"32 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multi-robot connection towards collective obstacle field traversal\",\"authors\":\"Haodi Hu, Xingjue Liao, Wuhao Du, Feifei Qian\",\"doi\":\"arxiv-2409.11709\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Environments with large terrain height variations present great challenges\\nfor legged robot locomotion. Drawing inspiration from fire ants' collective\\nassembly behavior, we study strategies that can enable two ``connectable''\\nrobots to collectively navigate over bumpy terrains with height variations\\nlarger than robot leg length. Each robot was designed to be extremely simple,\\nwith a cubical body and one rotary motor actuating four vertical peg legs that\\nmove in pairs. Two or more robots could physically connect to one another to\\nenhance collective mobility. We performed locomotion experiments with a\\ntwo-robot group, across an obstacle field filled with uniformly-distributed\\nsemi-spherical ``boulders''. Experimentally-measured robot speed suggested that\\nthe connection length between the robots has a significant effect on collective\\nmobility: connection length C in [0.86, 0.9] robot unit body length (UBL) were\\nable to produce sustainable movements across the obstacle field, whereas\\nconnection length C in [0.63, 0.84] and [0.92, 1.1] UBL resulted in low\\ntraversability. An energy landscape based model revealed the underlying\\nmechanism of how connection length modulated collective mobility through the\\nsystem's potential energy landscape, and informed adaptation strategies for the\\ntwo-robot system to adapt their connection length for traversing obstacle\\nfields with varying spatial frequencies. Our results demonstrated that by\\nvarying the connection configuration between the robots, the two-robot system\\ncould leverage mechanical intelligence to better utilize obstacle interaction\\nforces and produce improved locomotion. Going forward, we envision that\\ngeneralized principles of robot-environment coupling can inform design and\\ncontrol strategies for a large group of small robots to achieve ant-like\\ncollective environment negotiation.\",\"PeriodicalId\":501031,\"journal\":{\"name\":\"arXiv - CS - Robotics\",\"volume\":\"32 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - CS - Robotics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2409.11709\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Robotics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.11709","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multi-robot connection towards collective obstacle field traversal
Environments with large terrain height variations present great challenges
for legged robot locomotion. Drawing inspiration from fire ants' collective
assembly behavior, we study strategies that can enable two ``connectable''
robots to collectively navigate over bumpy terrains with height variations
larger than robot leg length. Each robot was designed to be extremely simple,
with a cubical body and one rotary motor actuating four vertical peg legs that
move in pairs. Two or more robots could physically connect to one another to
enhance collective mobility. We performed locomotion experiments with a
two-robot group, across an obstacle field filled with uniformly-distributed
semi-spherical ``boulders''. Experimentally-measured robot speed suggested that
the connection length between the robots has a significant effect on collective
mobility: connection length C in [0.86, 0.9] robot unit body length (UBL) were
able to produce sustainable movements across the obstacle field, whereas
connection length C in [0.63, 0.84] and [0.92, 1.1] UBL resulted in low
traversability. An energy landscape based model revealed the underlying
mechanism of how connection length modulated collective mobility through the
system's potential energy landscape, and informed adaptation strategies for the
two-robot system to adapt their connection length for traversing obstacle
fields with varying spatial frequencies. Our results demonstrated that by
varying the connection configuration between the robots, the two-robot system
could leverage mechanical intelligence to better utilize obstacle interaction
forces and produce improved locomotion. Going forward, we envision that
generalized principles of robot-environment coupling can inform design and
control strategies for a large group of small robots to achieve ant-like
collective environment negotiation.