Ɓeydital

Clevi Physical AI

Dextérité & Adaptabilité e yimɓe

2026.09.12

Fannuuji ɓurɗi nafa

AI-Driven Motion Intelligence Ɗaɓɓugol golle e sahaa ɗon, ɗaɓɓugol e deep learning (Deep Learning-based Real-time Motion Analysis) Ɗaɓɓude e jokkondirde keɓe sensoraji multmodale, hono Visual, Proprioceptive, Tactile e Force, ngam waɗde golle cakkitiiɗe hono golle yimɓe e sahaa ɗon.
Ɗoƴƴugol e reinforcement learning (Reinforcement Learning Optimization) Hokkitol solution reinforcement learning (Deep Reinforcement Learning). O hokku Adaptive Learning Framework nde waawi janngude hoore mum e nokkuure caɗɗe, tee waawi jaɓde e caɗeele anndaaɗe e laawol newnude. Waawi waɗde humanoidji cuɓaaɗi e siryaade scenarioji golle cuɓaaɗi.
Physics Models & Decision Making Physics-based Motion Control

Jokkitde e Physics Model nde jokkondiraa e engine physics goonga, ngam waɗde golle ɗe njogii ndaarol e kontrol jamɗugol. AI Decision Making
Ɓeydude e anndugol xaalis (Context Awareness) e cuɓagol ɓurɗol dow (High-level Decision Making), o waawi waɗde misiyonji ceertuɗi e hoore mum.

Loop Feedback anndaaɗo (Intelligent Feedback Loop) Self-Optimization ɗaɓɓude e feedback sensor

O hokku solution ngam ƴellitde golle e self-optimization (Self-Optimization), huutoraade feedback sensor e sahaa ɗon.

Min hokkii Physical AI Training Suite waawi huutoraade e robotuuji goonga e nokkuuje similaasioŋ.
Min waɗa jokkondiral e ɓeydude waɗde humanoidiji ngam paaji ceertuɗi, ko ɗiɗi industrial, service walla research.

Dexterity e Adaptability ngal yimɓe

Ɗum jogii cuɓoraaɗe lesɗe nannduɗe e ɗe yimɓe, waawde waasde e nokkuuje ceertuɗe, e waawde ƴeewtude caɗeele e laawol lebbi.

Waawde Ɓeydude e Waawde Feewndinde

Min wallita ɓeydude e feewnude ngam paaji industrial e research ceertuɗi.

Platform Robotic ngal Ɓeydotooɗo e Jooni

Min jogii solyyere robotic ngal hesere waawi janngude e ɓeydude AI e yeeso e yeeso.