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Henten, E.J. van; Hemming, J.; Tuijl, B.A.J. van; Kornet, J.G.; Meuleman, Jos; Bontsema, J.; Os, E.A. van

doi:10.1023/a:1020568125418

Cited by 347 publications

(78 citation statements)

References 14 publications

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“…Among these soft robotics, the class of soft crawling robots inspired from biological creatures has attracted increasing attention owing to their anticipated effective interaction with humans and uncertain environments, as well as potential capabilities of completing a variety of tasks, like search and rescue, infrastructure inspection, surveillance, drug delivery, and human assistance . Various novel actuations and locomotion designs have been explored to drive soft crawling robots, with some of them even equipped with capabilities of the autonomous motion, environment accommodation and decision making . For instance, soft crawling robots inspired by octopuses, worms, and jellyfishes have been designed to achieve complex motions with multiple gaits at low cost .…”

Section: Introductionmentioning

confidence: 99%

Soft Crawling Robots: Design, Actuation, and Locomotion

Chen

Cao

Sarparast

et al. 2019

Adv Materials Technologies

154

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Soft crawling robots have attracted great attention due to their anticipated effective interactions with humans and uncertain environments, as well as their potential capabilities of completing a variety of tasks encompassing search and rescue, infrastructure inspection, surveillance, drug delivery, and human assistance. Herein, a comprehensive survey on recent advances of soft crawling robots categorized by their major actuation mechanisms is provided, including pneumatic/hydraulic pressure, chemical reaction, and soft active material‐based actuations, which include dielectric elastomers, shape memory alloys, magnetoactive elastomers, liquid crystalline elastomers, piezoelectric materials, ionic polymer–metal composites, and twisted and coiled polymers. For each type of actuation, the prevalent modes of locomotion adopted in representative robots, the design, working principle and performance of their soft actuators, and the performance of each locomotion approach, as well as the advantages and drawbacks of each design are discussed. This review summarizes the state‐of‐the‐art progresses and the critical knowledge in designing soft crawling robots and offers a guidance and insightful outlook for the future development of soft robots.

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Section: Introductionmentioning

confidence: 99%

Soft Crawling Robots: Design, Actuation, and Locomotion

Chen

Cao

Sarparast

et al. 2019

Adv Materials Technologies

154

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“…Deutschland ist nach den USA das publikationsstärkste Land, wenngleich mit großem Abstand. Manipulationen wie das Ernten von empfindlichen Früchten (van Henten et al 2002) oder das Zuschneiden von Nutzpflanzen (Ackermann 2012). Und schließlich können Feldroboter ihre Aktivitäten mitschreiben und z.…”

Section: Start-up-investitionen Als Maß Für Marktreifeunclassified

Künstliche Intelligenz

Wittpahl¹

2019

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“…Mobile robot technology has been used within greenhouses or polytunnels for different purposes, such as fertilization [1], monitoring physical growth conditions [2], disease detection [3], and crop harvesting [4]. To perform these tasks using mobile robots, the indoor navigation problem needs to be solved.…”

Section: Related Workmentioning

confidence: 99%

Combining Hector SLAM and Artificial Potential Field for Autonomous Navigation Inside a Greenhouse

Harik

Korsæth

2018

Robotics

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Abstract:The key factor for autonomous navigation is efficient perception of the surroundings, while being able to move safely from an initial to a final point. We deal in this paper with a wheeled mobile robot working in a GPS-denied environment typical for a greenhouse. The Hector Simultaneous Localization and Mapping (SLAM) approach is used in order to estimate the robots' pose using a LIght Detection And Ranging (LIDAR) sensor. Waypoint following and obstacle avoidance are ensured by means of a new artificial potential field (APF) controller presented in this paper. The combination of the Hector SLAM and the APF controller allows the mobile robot to perform periodic tasks that require autonomous navigation between predefined waypoints. It also provides the mobile robot with a robustness to changing conditions that may occur inside the greenhouse, caused by the dynamic of plant development through the season. In this study, we show that the robot is safe to operate autonomously with a human presence, and that in contrast to classical odometry methods, no calibration is needed for repositioning the robot over repetitive runs. We include here both hardware and software descriptions, as well as simulation and experimental results.

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Cited by 347 publications

References 14 publications

Soft Crawling Robots: Design, Actuation, and Locomotion

Soft Crawling Robots: Design, Actuation, and Locomotion

Künstliche Intelligenz

Combining Hector SLAM and Artificial Potential Field for Autonomous Navigation Inside a Greenhouse

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