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Embodied AI·2026
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Transferring the Intelligence of VLMs to Robotic Control

Meng-Hao Guo, Zhe-Han Mo +7·Tsinghua University, Tencent Hunyuan

Uses a compact discrete-action interface (translation, rotation, gripper) to let frozen vision–language models control robots in closed-loop, and leverages in-context (one-shot) demonstrations to substantially improve manipulation success without robot-specific training.

#robotics#embodied-ai#multimodal#vision#paper+3
Computer Vision Papers·2026
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GameHorizon Suite: Multi-Horizon Data and Evaluation in Gameplay

Yiran Wang, Xingyilang Yin +13·Affiliation: ARC Lab, Tencent, Affiliation: GVC Lab, Great Bay University +4

Provides a unified data and evaluation suite for measuring gameplay capabilities across short, medium, and long temporal horizons. Includes an automated annotator, a 5,000-hour AAA gameplay dataset with temporally aligned frames, actions and multi-horizon instructions, and a reproducible offline + stepwise online benchmark.

#video#multimodal#evaluation#benchmark#benchmarks+6
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