Author:
Dorgan Kelly M.,Daltorio Kathryn A.
Abstract
Creating burrows through natural soils and sediments is a problem that evolution has solved numerous times, yet burrowing locomotion is challenging for biomimetic robots. As for every type of locomotion, forward thrust must overcome resistance forces. In burrowing, these forces will depend on the sediment mechanical properties that can vary with grain size and packing density, water saturation, organic matter and depth. The burrower typically cannot change these environmental properties, but can employ common strategies to move through a range of sediments. Here we propose four challenges for burrowers to solve. First, the burrower has to create space in a solid substrate, overcoming resistance by e.g., excavation, fracture, compression, or fluidization. Second, the burrower needs to locomote into the confined space. A compliant body helps fit into the possibly irregular space, but reaching the new space requires non-rigid kinematics such as longitudinal extension through peristalsis, unbending, or eversion. Third, to generate the required thrust to overcome resistance, the burrower needs to anchor within the burrow. Anchoring can be achieved through anisotropic friction or radial expansion, or both. Fourth, the burrower must sense and navigate to adapt the burrow shape to avoid or access different parts of the environment. Our hope is that by breaking the complexity of burrowing into these component challenges, engineers will be better able to learn from biology, since animal performance tends to exceed that of their robotic counterparts. Since body size strongly affects space creation, scaling may be a limiting factor for burrowing robotics, which are typically built at larger scales. Small robots are becoming increasingly feasible, and larger robots with non-biologically-inspired anteriors (or that traverse pre-existing tunnels) can benefit from a deeper understanding of the breadth of biological solutions in current literature and to be explored by continued research.
Funder
Office of Naval Research
National Science Foundation
Subject
Artificial Intelligence,Computer Science Applications
Reference137 articles.
1. Development of multistage type endoscopic robot based on peristaltic crawling for inspecting the small intestine;Adachi,2011
2. Muscular adaptations in swimming scale worms (Polynoidae, Annelida);Allentoft-Larsen;Roy. Soc. Open Sci.,2021
3. Amphibious robotic propulsive mechanisms: Current technologies and open challenges;Baines;Bioinspired Sens. Actuation, Control Underw. Soft Robotic Syst.,2021
4. Design, modeling, control, and application of everting vine robots;Blumenschein;Front. Robotics AI,2020
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献