Robotic locomotion through active and passive morphological adaptation in extreme outdoor environments

IF 26.1 1区 计算机科学 Q1 ROBOTICS
Max Polzin, Qinghua Guan, Josie Hughes
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引用次数: 0

Abstract

Robotic locomotion has shown substantial advancements, yet robots still lack the versatility and agility shown by animals navigating complex terrains. This limits their applicability in complex environments where they could be highly beneficial. Unlike existing robots that rely on intricate perception systems to construct models of both themselves and their surroundings, a more bioinspired approach leverages reconfiguration to adapt a robot’s morphology to its environment. Although interest in such multimodal, terrain-adaptive robots is increasing, their capacity for morphological reconfiguration often remains confined to specific body parts or comes at the expense of increased system complexity and reduced locomotion efficiency. Our study seeks to enhance robotic locomotion by developing robots that can actively reconfigure their morphology, altering their physical properties and leveraging their adaptability to navigate efficiently in diverse environments. We demonstrate how combining a compliant structure with morphological reconfiguration allowed a robot to transition between flat and spherical forms, enabling autonomous, multimodal locomotion—driving, rolling, and swimming—across complex terrains with minimal sensing. By actively reconfiguring its morphology to adapt physical properties for compliant interactions, the robot enhanced locomotion across rough, diverse environments. Leveraging its adaptability in different locomotion modes to navigate a 4.5-kilometer path across mountainous, aquatic, and urban terrains, the robot outperformed traditional and multimodal robots in terms of versatility, energy efficiency, and robustness. Developing versatile, energy-efficient, compliant robots capable of reconfiguring their morphology could substantially enhance autonomous navigation, opening up broader applications in unstructured environments, from environmental monitoring to disaster response and extraterrestrial exploration.
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来源期刊
Science Robotics
Science Robotics Mathematics-Control and Optimization
CiteScore
30.60
自引率
2.80%
发文量
83
期刊介绍: Science Robotics publishes original, peer-reviewed, science- or engineering-based research articles that advance the field of robotics. The journal also features editor-commissioned Reviews. An international team of academic editors holds Science Robotics articles to the same high-quality standard that is the hallmark of the Science family of journals. Sub-topics include: actuators, advanced materials, artificial Intelligence, autonomous vehicles, bio-inspired design, exoskeletons, fabrication, field robotics, human-robot interaction, humanoids, industrial robotics, kinematics, machine learning, material science, medical technology, motion planning and control, micro- and nano-robotics, multi-robot control, sensors, service robotics, social and ethical issues, soft robotics, and space, planetary and undersea exploration.
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