{"title":"Oli EDU","description":null,"products":[{"product_id":"limx-dynamics-oli-edu","title":"LimX Dynamics Oli EDU","description":"\u003cdiv style=\"margin: 24px 0; padding: 22px; background: #f7f7f7; border: 1px solid #dddddd; border-radius: 10px; box-sizing: border-box; font-family: Arial, Helvetica, sans-serif; color: #333333; line-height: 1.6;\"\u003e \u003cdiv style=\"background: #ffffff; padding: 22px; border-radius: 10px; margin-bottom: 18px; box-sizing: border-box;\"\u003e \u003ch2 style=\"margin: 0 0 14px 0; font-size: 26px; line-height: 1.3; color: #333333;\"\u003eLimX Dynamics Oli EDU - Robot umanoide per la ricerca, la formazione e l'Embodied AI\u003c\/h2\u003e \u003cp style=\"margin: 0 0 12px 0;\"\u003eIl \u003cstrong\u003eLimX Dynamics Oli EDU\u003c\/strong\u003e è un robot umanoide completo per la formazione, la ricerca e l'Embodied AI. Con un'altezza di circa 165 cm, 31 gradi di libertà e un'architettura software aperta, offre una piattaforma potente per il Reinforcement Learning, lo sviluppo della robotica e complessi esperimenti di intelligenza artificiale.\u003c\/p\u003e \u003cp style=\"margin: 0;\"\u003eDue telecamere di profondità Intel RealSense D435i, una IMU a 6 assi sviluppata internamente e numerose interfacce supportano la percezione e l'espandibilità del sistema. Grazie alle API di alto e basso livello, al supporto per Python e a un SDK modulare, Oli EDU può essere integrato in diversi ambienti di ricerca e sviluppo.\u003c\/p\u003e \u003c\/div\u003e \u003cdiv style=\"background: #ffffff; padding: 22px; border-radius: 10px; margin-bottom: 18px; box-sizing: border-box;\"\u003e \u003ch3 style=\"margin: 0 0 12px 0; font-size: 21px; color: #333333;\"\u003eCaratteristiche principali\u003c\/h3\u003e \u003cul style=\"margin: 0; padding-left: 22px;\"\u003e \u003cli\u003e31 gradi di libertà per movimenti di tutto il corpo e manipolazione\u003c\/li\u003e \u003cli\u003eAltezza di circa 165 cm e peso massimo di 55 kg, batteria inclusa\u003c\/li\u003e \u003cli\u003e2 x Intel RealSense D435i per la percezione della profondità\u003c\/li\u003e \u003cli\u003eIMU a 6 assi sviluppata internamente\u003c\/li\u003e \u003cli\u003eSupporto completo per Python\u003c\/li\u003e \u003cli\u003eAPI di alto e basso livello tramite SDK modulare\u003c\/li\u003e \u003cli\u003eModello URDF per workflow Sim2Real\u003c\/li\u003e \u003cli\u003eSupporto per NVIDIA Isaac Sim, MuJoCo e Gazebo\u003c\/li\u003e \u003cli\u003eEthernet Gigabit, diverse porte USB 3.x e numerosi pin I\/O\u003c\/li\u003e \u003cli\u003eUscite di alimentazione da 12 V e 24 V per periferiche esterne\u003c\/li\u003e \u003c\/ul\u003e \u003c\/div\u003e \u003cdiv style=\"background: #ffffff; padding: 22px; border-radius: 10px; margin-bottom: 18px; box-sizing: border-box;\"\u003e \u003ch3 style=\"margin: 0 0 12px 0; font-size: 21px; color: #333333;\"\u003eArchitettura software aperta e Sim2Real\u003c\/h3\u003e \u003cp style=\"margin: 0 0 12px 0;\"\u003eOli EDU è progettato per lo sviluppo dell'Embodied Intelligence e di applicazioni di robotica complesse. L'SDK modulare mette a disposizione API di alto e basso livello. Python è supportato completamente.\u003c\/p\u003e \u003cp style=\"margin: 0 0 12px 0;\"\u003eUn modello URDF preciso supporta i workflow Sim2Real. Gli algoritmi possono essere addestrati in ambienti di simulazione e successivamente trasferiti al robot fisico.\u003c\/p\u003e \u003cul style=\"margin: 0; padding-left: 22px;\"\u003e \u003cli\u003eNVIDIA Isaac Sim\u003c\/li\u003e \u003cli\u003eMuJoCo\u003c\/li\u003e \u003cli\u003eGazebo\u003c\/li\u003e \u003cli\u003eSupporto OTA per gli aggiornamenti software\u003c\/li\u003e \u003c\/ul\u003e \u003c\/div\u003e \u003cdiv style=\"background: #ffffff; padding: 22px; border-radius: 10px; margin-bottom: 18px; box-sizing: border-box;\"\u003e \u003ch3 style=\"margin: 0 0 12px 0; font-size: 21px; color: #333333;\"\u003eEspandibilità e interfacce\u003c\/h3\u003e \u003cp style=\"margin: 0 0 12px 0;\"\u003ePer gli allestimenti di ricerca e i sensori aggiuntivi, Oli EDU offre diverse interfacce per dati e alimentazione. Dispositivi esterni come sensori aggiuntivi o sistemi LiDAR possono essere collegati tramite USB, Ethernet, pin I\/O e le uscite 12 V o 24 V disponibili.\u003c\/p\u003e \u003cul style=\"margin: 0; padding-left: 22px;\"\u003e \u003cli\u003eEthernet a 1.000 Mbps\u003c\/li\u003e \u003cli\u003ePiù porte USB 3.x\u003c\/li\u003e \u003cli\u003eDiversi pin I\/O\u003c\/li\u003e \u003cli\u003eUscita 24 V \/ 5 A per periferiche\u003c\/li\u003e \u003cli\u003eUscita 12 V \/ 5 A per periferiche\u003c\/li\u003e \u003c\/ul\u003e \u003c\/div\u003e \u003cdiv style=\"background: #ffffff; padding: 22px; border-radius: 10px; margin-bottom: 18px; box-sizing: border-box;\"\u003e \u003ch3 style=\"margin: 0 0 12px 0; font-size: 21px; color: #333333;\"\u003eAmbiti di impiego tipici\u003c\/h3\u003e \u003cul style=\"margin: 0; padding-left: 22px;\"\u003e \u003cli\u003eRicerca sull'IA embodied\u003c\/li\u003e \u003cli\u003eApprendimento per rinforzo\u003c\/li\u003e \u003cli\u003eDidattica universitaria e formazione in robotica\u003c\/li\u003e \u003cli\u003eRicerca Sim2Real\u003c\/li\u003e \u003cli\u003eSviluppo di algoritmi per il movimento e il controllo dei robot umanoidi\u003c\/li\u003e \u003cli\u003eIntegrazione di sensori e periferiche aggiuntivi\u003c\/li\u003e \u003cli\u003eEsperimenti di IA e robotica con accesso di alto e basso livello\u003c\/li\u003e \u003c\/ul\u003e \u003c\/div\u003e \u003cdiv style=\"background: #ffffff; padding: 22px; border-radius: 10px; margin-bottom: 18px; box-sizing: border-box;\"\u003e \u003ch3 style=\"margin: 0 0 14px 0; font-size: 21px; color: #333333;\"\u003eDati tecnici\u003c\/h3\u003e \u003cdiv style=\"overflow-x: auto;\"\u003e \u003ctable style=\"width: 100%; border-collapse: collapse; min-width: 680px;\"\u003e \u003cthead\u003e \u003ctr\u003e\n\u003cth style=\"padding: 11px 12px; background: #478a84; color: #ffffff; text-align: left; border: 1px solid #d5d5d5;\"\u003eCategoria\u003c\/th\u003e\n\u003cth style=\"padding: 11px 12px; background: #478a84; color: #ffffff; text-align: left; border: 1px solid #d5d5d5;\"\u003eCaratteristica\u003c\/th\u003e\n\u003cth style=\"padding: 11px 12px; background: #478a84; color: #ffffff; text-align: left; border: 1px solid #d5d5d5;\"\u003eIndicazione\u003c\/th\u003e\n\u003c\/tr\u003e \u003c\/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eDati di base\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eAltezza\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003ecirca 165 cm\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eDati di base\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003ePeso\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003e≤ 55 kg inclusa la batteria\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eCinematica\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eGradi di libertà totali\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003e31 DoF\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eCinematica\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eBraccia\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003e7 DoF per braccio\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eCinematica\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eGambe\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003e6 DoF per gamba\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eCinematica\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eAnca\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003e3 DoF\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eCinematica\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eTesta\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003e2 DoF\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003ePrestazioni\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eVelocità massima\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003ecirca 5 km\/h\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003ePrestazioni\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eCarico utile per braccio\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003ecirca 3 kg\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eSensori\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eTelecamere di profondità\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003e2 x Intel RealSense D435i, testa e torace\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eSensori\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eIMU\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eIMU a 6 assi sviluppata internamente\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eConnettività\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eEthernet\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003e1.000 Mbps\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eConnettività\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eUSB\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003ePiù porte USB 3.x\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eConnettività\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eAltre interfacce\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eDiversi pin I\/O\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003ePeriferiche\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eUscita 24 V\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003e24V \/ 5A\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003ePeriferiche\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eUscita 12 V\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003e12V \/ 5A\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eSoftware\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eLinguaggio di programmazione\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eSupporto Python\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eSoftware\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eAPI\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eAPI di alto e basso livello tramite SDK modulare\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eSoftware\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eModello del robot\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eModello URDF per workflow Sim2Real\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eSoftware\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003ePiattaforme di simulazione\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eNVIDIA Isaac Sim, MuJoCo, Gazebo\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eSoftware\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eAggiornamenti\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eSupporto OTA\u003c\/td\u003e \u003c\/tr\u003e \u003c\/tbody\u003e \u003c\/table\u003e \u003c\/div\u003e \u003c\/div\u003e \u003cdiv style=\"background: #ffffff; padding: 22px; border-radius: 10px; box-sizing: border-box;\"\u003e \u003ch3 style=\"margin: 0 0 12px 0; font-size: 21px; color: #333333;\"\u003eContenuto della confezione\u003c\/h3\u003e \u003cul style=\"margin: 0; padding-left: 22px;\"\u003e \u003cli\u003eRobot umanoide LimX Dynamics Oli EDU, premontato\u003c\/li\u003e \u003cli\u003eDocumentazione completa con manuali utente e documentazione per sviluppatori\u003c\/li\u003e \u003cli\u003eAccesso a SDK e librerie di movimento\u003c\/li\u003e \u003cli\u003eEsempi pratici per iniziare rapidamente\u003c\/li\u003e \u003cli\u003eSupporto per piattaforme di simulazione come NVIDIA Isaac Sim, MuJoCo e Gazebo\u003c\/li\u003e \u003cli\u003eAlimentatore e accessori necessari per il funzionamento\u003c\/li\u003e \u003c\/ul\u003e \u003c\/div\u003e \u003c\/div\u003e","brand":"LimX Dynamics","offers":[{"title":"Default Title","offer_id":66042945569117,"sku":"F27211459","price":84999.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1074\/5649\/5965\/files\/limx-dynamics-oli-edu-funduino-4530047.png?v=1791482693"}],"url":"https:\/\/funduino.com\/it\/collections\/oli-edu.oembed","provider":"Funduino","version":"1.0","type":"link"}