Tech Meridian ← ENTITY INDEX
PROMY MERIDIAN RU

COMPANY · ENTITY #6926

ONNX

Related event timeline, sources and context from the news index.

EVENT TIMELINE

2

CODING · 1 SOURCE · Hugging Face

Train in simulation and deploy walking policies to Pollen Robotics' Microduck with NVIDIA Isaac Lab 3.0

A newly published tutorial demonstrates how to train bipedal walking policies for the open-source Microduck robot using NVIDIA Isaac Lab 3.0 and Newton actuator models, export the policy as ONNX, and deploy it on the physical robot. The workflow uses GPU-parallel simulation, domain randomization, Newton/BAM actuator and backlash modeling, and automatic RSL-RL playback exports so models can be shared via the Hugging Face Hub or tested in Microduck Arena.

6.0

RESEARCH · 1 SOURCE · arXiv cs.AI

PAANI: On-device visual evidence fusion and explainable guidance for river-robot simulation (arXiv:2609.22353v1)

PAANI is an on-device perception-to-guidance architecture for river-monitoring robots that fuses timestamp-aligned outputs from a project-trained YOLO11n detector and a MobileNetV3 Small semantic segmenter on an Arduino UNO Q, exposing the evidence and policy reasons behind each advisory. Models were trained on 10,000 WaterScenes detection images and 1,127 MaSTr1325 segmentation images (validation: 198 seg images); the FP32 ONNX exports total 14.817 MB, detector mAP@0.5 ≈ 0.7388/0.7367, segmentation mIoU = 0.9750, and a five-minute UNO Q run produced median/95th-percentile pipeline latencies of 467.8 ms / 580.3 ms at 0.5 Hz, while evaluations also identified black-input misclassification and a sampling-rate mismatch that limited apparent-motion evidence collection.

5.0