首页|Findings from Eindhoven University of Technology Yields New Data on Robotics (So rotoki: a Matlab Toolkit for Design, Modeling, and Control of Soft Robots)
Findings from Eindhoven University of Technology Yields New Data on Robotics (So rotoki: a Matlab Toolkit for Design, Modeling, and Control of Soft Robots)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Robotics is the subjec t of a report. According to news reporting originating from Eindhoven, Netherlan ds, by NewsRx correspondents, research stated, "In this paper, we present Soroto ki, an open-source toolkit in MATLAB that offers a comprehensive suite of tools for the design, modeling, and control of soft robots. The complexity involved in researching and building soft robots often stems from the interconnectedness of design and control aspects, which are rarely addressed together as a unified pr oblem." Financial support for this research came from Netherlands Organization for Scien tific Research (NWO). Our news editors obtained a quote from the research from the Eindhoven Universit y of Technology, "To address such complex interdependencies in soft robotics, th e Sorotoki toolkit provides a comprehensive and modular programming environment composed of seven Object-Oriented classes. These classes are designed to work to gether to solve a wide range of soft robotic problems, offering versatility and flexibility for its users. We provide here a comprehensive overview of the Sorot oki software architecture to highlight its usage and applications. The details a nd interconnections of each module are thoroughly described, collectively explai ning how to gradually introduce modeling complexity for various soft robotic sce narios. The effectiveness of Sorotoki is also demonstrated through a range of ca se studies, including novel problem scenarios and established works widely recog nized in the soft robotics community. These case studies cover a broad range of research problems, including: inverse design of soft actuators, passive and acti ve soft locomotion, object manipulation with soft grippers, meta-materials, mode l reduction, model-based control of soft robots, and online shape estimation. Ad ditionally, the toolkit provides access to four open-hardware soft robotic syste ms that can be fabricated using commercially available 3D printers."
EindhovenNetherlandsEuropeEmerging TechnologiesMachine LearningNano-robotRoboticsRobotsEindhoven Univers ity of Technology
NETL
NSTL
