Abstract:We present a novel soft limb quadruped robot "FASTT," with a simple and cheap design of its legs for dynamic locomotion aimed to expand the applications of soft robotics in mobile robots. The pneumatically actuated soft legs are self-stabilizing, adaptive to ground, and have variable stiffness, all of which are essential properties of locomotion that are also found in biological systems. We tested the soft legs for the pace, trot, and gallop gait and found them to move with a forward velocity for each gait wit… Show more
“…Incorporating elastic elements between the actuators and environment, for example, via a compliant joint drive [48] or an elastic foot [49], also has benefits such as reducing the impact forces experienced by the robot. Some legged robots are built with entirely soft legs, granting them all these benefits simultaneously [50]. Even if legged robots are not purely 'soft robots' , they benefit Reproduced from [39], with permission from Springer Nature.…”
Section: Morphologies: Advances In Invertebrate Inspired Robot Struct...mentioning
confidence: 99%
“…(top row, right column) Reproduced from [48], with permission from Springer Nature. (2nd row, right column) Reproduced from [50], with permission from Springer Nature. (3rd row, right column) Reproduced from [45], with permission from Springer Nature.…”
Section: Morphologies: Advances In Invertebrate Inspired Robot Struct...mentioning
Many invertebrates are ideal model systems on which to base robot design principles due to their success in solving seemingly complex tasks across domains while possessing smaller nervous systems than vertebrates. Three areas are particularly relevant for robot designers: Research on flying and crawling invertebrates has inspired new materials and geometries from which robot bodies (their morphologies) can be constructed, enabling a new generation of softer, smaller, and lighter robots. Research on walking insects has informed the design of new systems for controlling robot bodies (their motion control) and adapting their motion to their environment without costly computational methods. And research combining wet and computational neuroscience with robotic validation methods has revealed the structure and function of core circuits in the insect brain responsible for the navigation and swarming capabilities (their mental faculties) displayed by foraging insects. The last decade has seen significant progress in the application of principles extracted from invertebrates, as well as the application of biomimetic robots to model and better understand how animals function. This Perspectives paper on the past 10 years of the Living Machines conference outlines some of the most exciting recent advances in each of these fields before outlining lessons gleaned and the outlook for the next decade of invertebrate robotic research.
“…Incorporating elastic elements between the actuators and environment, for example, via a compliant joint drive [48] or an elastic foot [49], also has benefits such as reducing the impact forces experienced by the robot. Some legged robots are built with entirely soft legs, granting them all these benefits simultaneously [50]. Even if legged robots are not purely 'soft robots' , they benefit Reproduced from [39], with permission from Springer Nature.…”
Section: Morphologies: Advances In Invertebrate Inspired Robot Struct...mentioning
confidence: 99%
“…(top row, right column) Reproduced from [48], with permission from Springer Nature. (2nd row, right column) Reproduced from [50], with permission from Springer Nature. (3rd row, right column) Reproduced from [45], with permission from Springer Nature.…”
Section: Morphologies: Advances In Invertebrate Inspired Robot Struct...mentioning
Many invertebrates are ideal model systems on which to base robot design principles due to their success in solving seemingly complex tasks across domains while possessing smaller nervous systems than vertebrates. Three areas are particularly relevant for robot designers: Research on flying and crawling invertebrates has inspired new materials and geometries from which robot bodies (their morphologies) can be constructed, enabling a new generation of softer, smaller, and lighter robots. Research on walking insects has informed the design of new systems for controlling robot bodies (their motion control) and adapting their motion to their environment without costly computational methods. And research combining wet and computational neuroscience with robotic validation methods has revealed the structure and function of core circuits in the insect brain responsible for the navigation and swarming capabilities (their mental faculties) displayed by foraging insects. The last decade has seen significant progress in the application of principles extracted from invertebrates, as well as the application of biomimetic robots to model and better understand how animals function. This Perspectives paper on the past 10 years of the Living Machines conference outlines some of the most exciting recent advances in each of these fields before outlining lessons gleaned and the outlook for the next decade of invertebrate robotic research.
“…Soft robots are capable of manipulation (Calisti et al , 2011) and locomotion (Cianchetti et al , 2015) efficiently, but just when they are suspended in water or are under ground. Although performing a dynamic task (Ansari et al , 2015) outside of such environments is possible for soft robots but not in a controlled and of course not in an efficient way. It means the softrobots are capable of providing variable impedance but just in the presence of external forces, making the stiffness/impedance controllability as the main problem of softrobots.…”
Purpose- Interaction plays a significant role in robotics and it is considered in all levels of hardware and software control design. Several models have been introduced and developed for controlling robotic interaction. This study aims to address and analyze the state of the art on robotic interaction control by which reveals that both practical and theoretical issues have to be faced when designing a controller.\ud
Design/methodology/approach - In this review a critical analysis of the control algorithms developed for robotic interaction tasks is presented. A hierarchical classification of distributed control levels from general aspects to specific control algorithms is also illustrated. Hence, two main control paradigms are discussed together with control approaches and architectures. The challenges of each control approach are discussed and the relevant\ud
solutions are presented.\ud
Findings- This review presents an evolvement trend of interaction control theories and technologies over the time. In addition, it highlights the pros and cons of each control approaches with addressing how the flaws of one control approach were compensated by emerging another control methods.\ud
Originality/value- This review provides the robotic controller designers to select the right architecture and accordingly design the appropriate control algorithm for any given interactive task and with respect to the technology implemented in robotic manipulator
“…To the best of our knowledge, there is currently no known quadruped robot that integrates both a geardriven symmetrical parallelogram mechanism for posture adjustment and body undulation, all designed based on bio-inspired principles of stability and gait selection. While few bio-inspired robots with variable posture exist (e.g., Bongard [1], Ansari et al [37], Juárez-Campos et al [38]), their approaches have limitations. Bongard's robot [1] relies on a complex gear train and leg stands, limiting agility.…”
Section: Introductionmentioning
confidence: 99%
“…Bongard's robot [1] relies on a complex gear train and leg stands, limiting agility. Ansari et al's [37] utilize soft legs for posture, but possess a rigid spine, restricting gait versatility. Juárez-Campos et al's [38] Peaucellier-Lipkin mechanism offers limited posture variations.…”
Adaptation of morphology in response to varying environments is a crucial feature seen in biological organisms. While some robots emulate adaptability through the use of adaptive body parts, practical implementation of morphological transformations in robotics remains limited. This limitation arises due to the complexity of such transformations, demanding the fusion of advanced materials, control systems, and design approaches. In our paper, we introduce a bioinspired quadruped robot equipped with a laterally undulating spine, designed to adapt its posture specifically for navigating complex terradynamic environments. Leveraging a symmetrical parallelogram mechanism, this robot can alter both height and width, enabling traversal across varied surfaces, collision avoidance, passage through narrow channels, and obstacle negotiation. Additionally, our robot’s innovative design strategically positions its center of gravity within its support triangle throughout the gait cycle using lateral undulation, eliminating the need for posture-stabilizing sensors or learning algorithms.
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