The MarXbot, a Miniature Mobile Robot Opening new Perspectives for the Collective-robotic Research

被引：110

作者：

Bonani, Michael ^{[1
]}

Longchamp, Valentin ^{[1
]}

Magnenat, Stephane ^{[1
]}

Retornaz, Philippe ^{[1
]}

Burnier, Daniel ^{[1
]}

Roulet, Gilles ^{[1
]}

Vaussard, Florian ^{[1
]}

Bleuler, Hannes ^{[1
]}

Mondada, Francesco ^{[1
]}

机构：

[1] EPFL LSRO, CH-1015 Lausanne, Switzerland

来源：

IEEE/RSJ 2010 INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS 2010) | 2010年

关键词：

D O I：

10.1109/IROS.2010.5649153

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Collective and swarm robotics explores scenarios involving many robots running at the same time. A good platform for collective-robotic experiments should provide certain features among others: it should have a large battery life, it should be able to perceive its peers, and it should be capable of interacting with them. This paper presents the marXbot, a miniature mobile robot that addresses these needs. The marXbot uses differential-drive treels to provide rough-terrain mobility. The marXbot allows continuous experiments thanks to a sophisticated energy management and a hotswap battery exchange mechanism. The marXbot can self-assemble with peers using a compliant attachment mechanism. The marXbot provides high-quality vision, using two cameras directly interfaced with an ARM processor. Compared to the related work, the marXbot has better energy management, vision, and interaction capabilities. By allowing complex tasks in large environments for long durations, the marXbot opens new perspectives for the collective-robotic research.

引用

页码：4187 / 4193

页数：7

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