UBTECH releases Thinker-Sim embodied intelligence simulation platform

Beijing News Shell Finance News (Reporter Cheng Liang) On November 2, according to UBTECH Technology, UBTECH's Thinker-Sim embodied intelligence simulation platform was officially released. Facing industry pain points such as the high cost of real data collection, the complexity of building simulation environments, and the long algorithm validation cycles, UBTECH has built Thinker-Sim, an embodied intelligence simulation platform centered on Real2Sim2Real, establishing a one-stop technical system covering the digitization of real scenarios, large-scale simulation data synthesis, and robot capability evaluation.

According to the introduction, the platform comes with a rich set of standardized simulation task templates, covering common robot training, data synthesis, and evaluation scenarios. Users do not need to build simulation environments from scratch; by selecting templates and configuring parameters, they can quickly launch simulation tasks. It supports real-time video streaming of the simulation process, task status monitoring, and feedback on run results, allowing users to grasp the simulation execution status in real time, quickly locate task failures, model anomalies, and environment configuration issues, and promptly adjust models or parameters and restart the simulation.

At the same time, through visual workflows, scenarios, robots, tasks, algorithms, and evaluation modules can be freely combined to achieve flexible configuration of simulation processes, adapting to more than 90% of target simulation scenarios. Based on the self-developed Ulab-Agent, with natural language as the unified interaction entry point, it understands user needs and autonomously invokes underlying atomic skills such as scenario creation, environment configuration, randomization, task orchestration, and scheduling execution, realizing full-process intelligence for simulation tasks and further lowering the threshold for using complex simulations.

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