000161072 001__ 161072
000161072 005__ 20251017144618.0
000161072 0247_ $$2doi$$a10.1039/d5mh00498e
000161072 0248_ $$2sideral$$a144281
000161072 037__ $$aART-2025-144281
000161072 041__ $$aeng
000161072 100__ $$0(orcid)0000-0002-9878-8945$$aMontesino, Lorena
000161072 245__ $$aBridging sensing and action: autonomous object sorting by reprogrammable liquid crystal elastomers
000161072 260__ $$c2025
000161072 5060_ $$aAccess copy available to the general public$$fUnrestricted
000161072 5203_ $$aAchieving autonomy in soft robotics requires integrating sensing, planning, and actuation. Stimuli-responsive liquid crystal elastomers (LCEs) are promising for this purpose due to their intrinsic sensory capabilities, adaptability and integrability. Nevertheless, self-regulated LCE systems typically rely on single-mode bending actuators with feedback-type mechanisms, where deformation gradually increases with stimulus intensity but only causes a functional transition beyond a critical activation point. This enables autonomous switching between non-functional and functional states, however, their behavior remains reactive, limiting their ability to perform complex adaptive tasks. Here, we present a reprogrammable LCE actuator capable of autonomously sorting objects based on their green-light transmission properties. Using perylene diimide-doped LCEs and controlled green-light illumination, the actuator senses the optical properties of the object, establishing an actuation plan through spatial radical generation. Subsequent far-red irradiation triggers different actuation modes, enabling selective object sorting. This pattern-encoded actuation allows objects with different optical characteristics to trigger specific mechanical responses under identical illumination conditions. This single-material system, which is optically resettable, integrates sensory feedback, deliberative decision-making, and adaptive mechanical responses. Surpassing the reactive nature of conventional self-regulated LCE systems, our approach advances LCE-based robotics toward greater autonomy, aligning with the sense-plan-act paradigm.
000161072 536__ $$9info:eu-repo/grantAgreement/ES/AEI/AEI PID2022-140923NB-C21$$9info:eu-repo/grantAgreement/ES/DGA/E09-23R$$9info:eu-repo/grantAgreement/ES/DGA/E15-20R$$9info:eu-repo/grantAgreement/ES/DGA/E28-24$$9info:eu-repo/grantAgreement/EC/H2020/829010/EU/Advanced and versatile PRInting platform for the next generation of active Microfluidic dEvices/PRIME$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 829010-PRIME$$9info:eu-repo/grantAgreement/ES/ISCIII/CB06-01/00263$$9info:eu-repo/grantAgreement/ES/MICINN/PID2020-118485RB-I00
000161072 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc$$uhttps://creativecommons.org/licenses/by-nc/4.0/deed.es
000161072 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000161072 700__ $$aLópez-Valdeolivas, María
000161072 700__ $$0(orcid)0000-0002-5406-3280$$aMartínez, Jesús I.$$uUniversidad de Zaragoza
000161072 700__ $$0(orcid)0000-0003-3900-2866$$aSánchez-Somolinos, Carlos
000161072 7102_ $$12003$$2395$$aUniversidad de Zaragoza$$bDpto. Física Materia Condensa.$$cÁrea Física Materia Condensada
000161072 773__ $$g(2025), [13 pp.]$$pMater. horizons$$tMATERIALS HORIZONS$$x2051-6347
000161072 8564_ $$s1903420$$uhttps://zaguan.unizar.es/record/161072/files/texto_completo.pdf$$yVersión publicada
000161072 8564_ $$s2920176$$uhttps://zaguan.unizar.es/record/161072/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000161072 909CO $$ooai:zaguan.unizar.es:161072$$particulos$$pdriver
000161072 951__ $$a2025-10-17-14:20:32
000161072 980__ $$aARTICLE