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Sim-to-Real

4 articles · Page 1 of 1
Machine Heart
Machine Heart
Jul 23, 2026 · Artificial Intelligence

How a 3D Generation Startup Achieved 139.6× Faster, Fully Safe Trajectory Optimization for Robotics

The article details how Yingmu Technology’s cuNRTO paper, nominated for the RSS 2026 Outstanding Paper Award, moves nonlinear robust trajectory optimization onto GPUs, delivering up to 139.6× speedup while preserving 100% safety constraints, and situates this breakthrough within the company’s broader 3D‑to‑embodied‑AI research roadmap.

3D GenerationGPU AccelerationRobotics
0 likes · 14 min read
How a 3D Generation Startup Achieved 139.6× Faster, Fully Safe Trajectory Optimization for Robotics
Data Party THU
Data Party THU
May 18, 2026 · Artificial Intelligence

Engineering Sim‑to‑Real Migration for Embodied Intelligent Robots

The article presents a comprehensive engineering guide for embodied intelligent robots, detailing the three core Sim‑to‑Real migration technologies—high‑fidelity simulation adaptation (Isaac Sim), dynamics parameter identification with digital‑twin synchronization, and domain‑randomized pipelines—while comparing Isaac Sim and PyBullet, offering platform‑selection advice, and providing concrete rendering‑physics trade‑off configurations with performance metrics.

Digital TwinDomain RandomizationIsaac Sim
0 likes · 20 min read
Engineering Sim‑to‑Real Migration for Embodied Intelligent Robots
Xiaomi Tech
Xiaomi Tech
Feb 5, 2026 · Artificial Intelligence

TacRefineNet: A Tactile‑Driven Model for Millimeter‑Precision Robotic Grasp Refinement

TacRefineNet leverages high‑resolution tactile sensors, multimodal fusion of fingertip touch and proprioception, and a goal‑conditioned refinement network to achieve millimeter‑level grasp adjustments without vision or 3D models, demonstrating zero‑shot deployment and robust generalization across diverse automotive‑factory parts in both simulation and real‑world tests.

Multimodal FusionSim-to-Realgrasp refinement
0 likes · 8 min read
TacRefineNet: A Tactile‑Driven Model for Millimeter‑Precision Robotic Grasp Refinement