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╚═╝ ╚═╝ ╚═╝ ╚═══╝╚═════╝ ╚═╝ ╚═╝╚══════╝╚══════╝ ╚══════╝╚═╝ ╚═╝╚═════╝ ╚══════╝
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())
I'm Tingde Liu, an embodied AI engineer exploring how intelligent agents can understand language, perceive the world, and act in physical spaces. My work brings together robotics, vision-language navigation, and multimodal learning, with a focus on turning ideas into systems that work in the real world. My long-term aspiration is to help realize artificial general intelligence (AGI): agents that can learn across tasks, reason about unfamiliar situations, and turn understanding into useful action. I see embodied intelligence as a path toward that goal, and I want to contribute through open research, practical engineering, and sharing what I learn.