Max Sokolich, Yanda Yang, Subrahmanyam Cherukumilli, Fatma Ceren Kirmizitas, Sambeeta Das
{"title":"MicroRoboScope: A Portable and Integrated Mechatronic Platform for Magnetic and Acoustic Microrobotic Experimentation.","authors":"Max Sokolich, Yanda Yang, Subrahmanyam Cherukumilli, Fatma Ceren Kirmizitas, Sambeeta Das","doi":"10.1002/adrr.202500195","DOIUrl":"10.1002/adrr.202500195","url":null,"abstract":"<p><p>This paper presents MicroRoboScope, a portable, compact, and versatile microrobotic experimentation platform designed for real-time, closed-loop control of both magnetic and acoustic microrobots. The system integrates an embedded computer, microscope, power supplies, and control circuitry into a single, low-cost, and fully integrated apparatus. Custom control software developed in Python and Arduino C++ handles live video acquisition, microrobot tracking, and generation of control signals for electromagnetic coils and acoustic transducers. The platform's multi-modal actuation, accessibility, and portability make it suitable not only for specialized research laboratories but also for educational and outreach settings. By lowering the barrier to entry for microrobotic experimentation, this system enables new opportunities for research, education, and translational applications in biomedicine, tissue engineering, and robotics.</p>","PeriodicalId":523860,"journal":{"name":"Advanced robotics research","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13378525/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148582077","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Frank Juliá Wise, Yitong Lu, Daniel Van Lewen, Riley Applebaum, Bianca Andrada, Johnathan Reamer, Sheila Russo
{"title":"Enabling Real-Time Shape-Sensing in Soft Robots via a Miniaturized, Single-Signal, Color-Tuned Soft Optical Sensor.","authors":"Frank Juliá Wise, Yitong Lu, Daniel Van Lewen, Riley Applebaum, Bianca Andrada, Johnathan Reamer, Sheila Russo","doi":"10.1002/adrr.202500124","DOIUrl":"10.1002/adrr.202500124","url":null,"abstract":"<p><p>Soft robotic systems require embedded sensing for closed-loop and autonomous control; however, existing shape-sensing approaches are limited by rigidity, bulky multisensor designs, and high computational cost. Here, we present Light-based Ultrathin Miniature Optical Sensor (LUMOS), a miniaturized, fully soft optical sensor with a 1.25 mm cross-section that utilizes thin film color tuning and a flexible mirror tip to deliver real-time 3D shape information from a single red-green-blue (RGB) response. The mirror enables full signal reflection and transmission from the base, eliminating the need for onboard electronics and allowing for miniaturization. Additionally, thin film color tuning adds minimal thickness and encodes sufficient data for complete 3D shape reconstruction. Integrated into a miniaturized soft continuum robot, LUMOS achieved a predicted tip accuracy of 0.47 mm using neural network mapping. In closed-loop operation, the robot demonstrated precise 3D targeting, maintained accuracy under external disturbances, and autonomously navigated in an in vitro lung phantom.</p>","PeriodicalId":523860,"journal":{"name":"Advanced robotics research","volume":"2 1","pages":"e202500124"},"PeriodicalIF":0.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13238374/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148202185","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Toward Wireless Implantable Robotic Systems Driven by Magnetic Field for Personalized Therapy.","authors":"Yusheng Wang, Ruijian Ge, Xiaoguang Dong","doi":"10.1002/adrr.202500077","DOIUrl":"10.1002/adrr.202500077","url":null,"abstract":"<p><p>Robotic materials are playing an increasingly important role in enabling sensing and actuation at small scales. Recent advances have shown that these materials can dynamically respond to environmental cues while supporting remote sensing for versatile applications particularly healthcare. Among them, magnetically responsive materials such as magneto-elastic and magnetoelectric materials, offer compact, wireless solutions for miniaturized actuators, sensors, and energy transmitters, with significant potential in personalized medicine. However, key challenges remain in integrating magnetic materials toward implantable robotic systems, in achieving miniaturization, biocompatibility, and closed-loop therapy. This perspective highlights recent developments in magnetic materials and magnetically actuated devices for wireless sensing, actuation, and energy harvesting, toward implantable robotic systems for closed-loop therapy. We survey magnetic materials in enabling pumps, valves, and other drug delivery modules and evaluate their performance in terms of actuation field, biocompatibility, and applicable locations. Additionally, we also survey their sensing functions when integrating with other stimuli-responsive materials for different physiological conditions as well as energy harvesting functions for powering. Finally, we discuss future directions in miniaturization, safety, and long-term in vivo stability to facilitate clinical translation. This work provides a forward-looking perspective on next-generation, minimally invasive, robotic implantable systems for personalized disease monitoring and therapeutic intervention.</p>","PeriodicalId":523860,"journal":{"name":"Advanced robotics research","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13188203/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147990858","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}