Colab
机器人与空间系统实验室
CoLab (可乐实验室) 成立于2016年6月12日。我们在以人为中心的图像和视频理解方面拥有深厚的专业知识，核心能力涵盖人体分割、姿态估计、属性预测和重新识别。目前，我们正致力于将人工智能技术与无人机、具身智能和卫星遥感等尖端平台相结合。
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代表性工作
Directions
Embodied AI × UAVs
We build aerial embodied agents that integrate vision-language understanding with autonomous policy planning, enabling UAVs to perceive, think, and act in dynamic environments. Our research spans from simulation to real-world deployment, advancing aerial robots capable of intelligent navigation and multi-agent collaboration.
Visit UAV Home Page
Embodied AI × Satellites
We focus on intelligent scheduling and planning for imaging satellite constellations. By building unified frameworks that integrate benchmarks and learning-based scheduling models, we tackle the NP-hard challenges of large-scale, dynamic Earth observation missions.
Embodied AI × Manipulation
Our manipulation research explores learning-based methods for robotic grasping, dexterous hand control, and human-object interaction. We develop policies that enable robots to manipulate diverse objects and perform complex tasks in unstructured environments.
Embodied AI × Perception
Beyond simple "seeing", we develop agents that deeply understand environments across spatial, temporal, and semantic dimensions. Key tasks include open-vocabulary detection and segmentation, enabling models to recognize and reason about novel objects.
Events
Jan 2026
First Prize at 2025 CICAS AI Agent Global Competition
Team Airstar from Beihang University won the First Prize (Seed Track, top 10 out of 1,150 teams worldwide) at the 2025 CICAS AI Agent Global Competition held in Shenzhen. Themed "Scene-Driven · Digital Intelligence Empowerment," the competition is the world's largest AI agent contest. After rigorous online screening and closed-door expert review evaluating technical originality, architectural innovation, and commercialization potential, Airstar stood out for its focus on embodied intelligence and low-altitude economy, exploring new paradigms for human-robot interaction and intelligent aerial agents.
Jul 2025
Genie Envisioner: First Open-Source Robot World Model Platform
In collaboration with AgiBot (Zhiyuan Robotics) and NUS, CoLab co-released Genie Envisioner (GE) — the industry's first open-source unified world model platform for real-world robotic manipulation. Unlike conventional fragmented pipelines, GE integrates future-frame prediction, policy learning, and simulation evaluation into a single closed-loop, video-generation-centric architecture. Trained on 3,000 hours of real-robot data, GE-Act achieves state-of-the-art cross-platform generalization and long-horizon task execution, outperforming prior methods such as π0 and GR00T.
2025
AEOS-Bench: Satellite Constellation Scheduling Benchmark (NeurIPS 2025)
Targeting space embodied intelligence, CoLab proposed AEOS-Bench — the first large-scale, realistic benchmark for Earth-observation satellite constellation scheduling, along with AEOS-Former, a Transformer-based scheduling model with embedded temporal constraints. Built on a high-fidelity Basilisk simulation engine, AEOS-Bench contains 16K+ scenarios covering 1–50 satellites and 50–300 imaging tasks. AEOS-Former fuses constraint-aware attention masks with satellite-task matching, achieving state-of-the-art performance across all evaluation metrics. Published at NeurIPS 2025.
Apr 2025
ICLR 2025 — 4 Papers Accepted
CoLab had four papers accepted at ICLR 2025 in Singapore. The team attended the conference in person, engaging with the global deep learning community at one of the most influential venues in AI research.
May 2024
ICRA 2024 — Paper Accepted & Presented
CoLab had one paper accepted at ICRA 2024 held in Yokohama, Japan. The team traveled to Yokohama to present the work and engage with the global robotics community at one of the premier robotics conferences.
Oct 2023
ICCV 2023 — 4 Papers Accepted
CoLab had four papers accepted at ICCV 2023 in Paris, France. Out of 8,260 valid submissions, only 2,161 were accepted (26% acceptance rate) with 152 orals (1.8%). The team attended the conference in person to present their work on this global stage.
