yahboomYahboom· Robots & kits

D-Robotics RDK S100 S100P Developer Kit (80TOPS/128TOPS)

Name: D-Robotics RDK S100 S100P Developer Kit (80TOPS/128TOPS)
Brand: Yahboom
Price: 619.00 USD
Availability: InStock

Réf. fabricant 3000101296

619.00 $≈ 536.44 €

Le prix en résumé

Vendu par yahboom à 536.44 €. Livré en France, port, TVA et droits de douane éventuels compris, il revient à environ 661.73 €. Prix relevés le 2026-09-16.

Le coût livré est une estimation pour un article seul expédié en France métropolitaine ; seul le panier du vendeur fait foi.

En stock

Voir chez le vendeur ↗

Coût total livré estimé

Détail du coût total livré
Article	536.44 €
Frais de port	15.00 €
TVA (20 %)	110.29 €
Total livré	661.73 €

Estimation pour un article seul livré en France métropolitaine, expédié hors UE : des droits de douane et frais de dédouanement peuvent s'ajouter, facturés par le transporteur.

Historique de prix

2 relevés de prix/stock depuis le 19/08/2026

Plus bas 619.00 USDActuel 619.00 USDPlus haut 799.00 USD

Description

Tutorial Link D-Robotics RDK_S100/S100P Developer Kit RDK S100/S100P is a developer kit designed specifically for embodied intelligent robots. It employs humanoid-Inspired dual-brain architecture, integrating a high-performance CPU, an 80TOPS/128TOPS BPU(Brain Processing Unit), and a real-time MCU to achieve integrated computing and control. Onboard multiple interface for easy startup, it significantly enhances the robot perception, decision-making, and control capabilities in complex scenarios through heterogeneous computing and dynamic task scheduling, helping developers quickly build intelligent robot applications. Integrates three core units: a CPU (6x Cortex-A78AE, 100K DMIPS), a BPU(Brain Processing Unit) (new Nash architecture, 80 TOPS/128 TOPS), and an MCU (4x Cortex-R52, 6K+ DMIPS). CPU handles real-time scheduling and low-latency tasks; BPU(Brain Processing Unit) is optimized for CNN/Transformer, supporting 160+ ONNX operators to improve AI inference energy efficiency; MCU enables high-frame-rate joint control, forming a "brain-cerebellum" collaborative architecture that balances intelligence and real-time performance. Efficient model collaboration is achieved through a three-tiered hardware division of labor: CPU, BPU(Brain Processing Unit), MCU.Large models (vision/point cloud/LLM/VLM) are handled by the CPU and BPU(Brain Processing Unit) for perception and decision-making. Small models (motion control) are executed in conjunction with the MCU and BPU(Brain Processing Unit), freeing up CPU resources. Dynamic model switching across the perception-execution chain is supported, ensuring on-demand resource allocation in complex tasks. The MCU specializes in high real-time control, while the BPU(Brain Processing Unit) assists in computation and reduces its workload. End-to-end millisecond-level response closed loop Visually acquired data undergoes semantic detection (LLM/VLM) and state analysis via BPU(Brain Processing Unit)+CPU; the motion control model gene