Tingde Liu TingdeLiu

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📌 Flagship Open-Source Project

Tingde Liu · Research Notes — _{Chinese-language research knowledge base on Embodied AI & Vision-Language Navigation}

🧑‍💻 Role — Creator & Lead Maintainer

Sole maintainer since 2026-01-04. Personally responsible for all content authoring, site engineering, issue triage, and licensing compliance. See MAINTAINERS.md.

⭐ Reach — 76 stars (as of Sept 2026)

718 commits across 9 consecutive active months. 17 research surveys, 6 technical deep-dives, ~57k lines of Markdown, 1003 figures.

📰 Sustained Delivery — Weekly Digest

An ongoing weekly embodied-navigation digest curating new arXiv work into conclusions and a ranked reading list — shipped on a recurring cadence, not a one-off dump.

🛠️ Project Governance

Dual-licensed with third-party figure rights explicitly carved out, plus published contributing and security policies.

🤝 Community Feedback — 5 / 5 resolved (100%), 1–3 day turnaround

Reader reports arrive through an in-article feedback widget. Every one has been verified against the source paper and answered personally — including the one I declined with a stated scope rationale. Full log with links: Community feedback record →

#	Reporter	Report	Outcome	Days
#17	@feigemicer-cloud	Table failed to render in DL survey	✅ Fixed — traced to a missing blank line before the table	1
#8	@cbcbHH	Proposed adding OnFly (aerial VLN)	⚖️ Declined — scope is indoor robot VLN; reasoning given	3
#7	@11klow	Add paper venues; group by methodology	✅ Shipped — venue table + interactive tag filter	1
#6	@jiangqs472-sketch	AwareVLN SR/SPL/OS mismatched the paper	✅ Fixed — re-verified against source	3
#5	@DAHM7048	MathJax broken in diffusion section	✅ Fixed	3

📄 Licensing — MIT for site code · CC BY 4.0 for original writing · third-party paper figures explicitly excluded and left with their original rights holders.

🧠 About Me

class EmbodiedAIResearcher:
    def __init__(self):
        self.name = "Tingde Liu"
        self.role = "Embodied AI Engineer"
        self.research_focus = [
            "Vision-Language Navigation (VLN)",
            "Robot Agentic Navigation",
            "Multimodal Learning"
        ]
        self.current_work = "Building intelligent agents that understand language and navigate physical spaces"
        
    def get_skills(self):
        return {
            "Languages": ["Python", "C++", "CUDA"],
            "Frameworks": ["PyTorch", "ROS", "Habitat-Sim", "NVIDIA Isaac"],
            "Research": ["VLN", "Embodied AI", "Multimodal Fusion"],
            "Tools": ["Docker", "Weights&Biases", "Isaac Sim", "Gazebo"]
        }
    
    def current_mission(self):
        return "Bridging the gap between language understanding and robotic navigation 🚀"

# Initialize
researcher = EmbodiedAIResearcher()
print(researcher.current_mission())