multimodal perception — 5 Technical Articles

Apr 26, 2026 · Industry Insights

Multimodal Perception and AI Fusion: Highlights from Tsinghua’s 9th Big Data Intelligent Lecture

The 9th Tsinghua Big Data Intelligent Lecture gathered leading scholars and industry experts to showcase cutting‑edge research on multimodal perception, embodied intelligence, spatial AI, large‑model multimodal systems, and industrial time‑series databases, emphasizing their technical depth and real‑world impact.

Artificial IntelligenceDeep Reinforcement LearningGLM5V Turbo

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Multimodal Perception and AI Fusion: Highlights from Tsinghua’s 9th Big Data Intelligent Lecture

Alibaba Cloud Big Data AI Platform

Mar 25, 2026 · Artificial Intelligence

Scaling Multimodal Reinforcement Learning with NVIDIA Isaac Lab and TiledCamera

This article explains how to use NVIDIA Isaac Lab and the TiledCamera component to run large‑scale, multimodal reinforcement learning on GPU clusters, covering environment setup, noVNC visualization, command‑line execution, distributed training with torchrun, and performance analysis across multiple GPU configurations.

Distributed TrainingGPU scalingNVIDIA Isaac Lab

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Scaling Multimodal Reinforcement Learning with NVIDIA Isaac Lab and TiledCamera

Amap Tech

Feb 13, 2026 · Artificial Intelligence

How ABot‑M0 Achieves Generalist Robot Intelligence with Action Manifold Learning

ABot‑M0 tackles the three long‑standing "Babel Tower" challenges of embodied AI—data fragmentation, inconsistent representations, and training mismatches—by releasing the massive UniACT dataset, introducing Action Manifold Learning for direct action prediction, and designing a plug‑and‑play dual‑path perception architecture that outperforms prior models on multiple robot benchmarks.

Roboticsaction manifold learningdataset

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How ABot‑M0 Achieves Generalist Robot Intelligence with Action Manifold Learning

Data Party THU

Jul 29, 2025 · Artificial Intelligence

How High‑Low UAV Collaboration Beats Solo Drones in Complex Navigation

Researchers from Beihang University present a high‑low UAV collaborative navigation paradigm, introducing the HaL‑13k dataset and AeroDuo framework, detailing high‑altitude planning with Pilot‑LLM, low‑altitude three‑stage search, and demonstrating superior target finding in complex environments.

AeroDuoPilot-LLMUAV

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How High‑Low UAV Collaboration Beats Solo Drones in Complex Navigation

Alibaba Cloud Developer

Apr 4, 2018 · Artificial Intelligence

How Tsinghua and Alibaba Are Shaping the Future of Human‑Machine Natural Interaction

In April 2018, Tsinghua University and Alibaba launched a joint Natural Interaction Experience Lab to explore next‑generation human‑machine interaction, aiming to give machines five senses and emotional understanding, and to apply this research across retail, smart homes, autonomous driving, and other emerging AI‑driven scenarios.

AIAlibabaTsinghua University

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How Tsinghua and Alibaba Are Shaping the Future of Human‑Machine Natural Interaction