My research focuses on robotics and I’m particularly interested in Navigation and Perception.
Datasets for robotic navigation and perception purposes.
Indoor Navigation solves the problem of moving robots in indoor scenarios. It includes indoor collision avoidance and indoor social navigation.
Language-model-based approaches include VLM-based indoor-outdoor navigation, VLM-based social planning, VLM-based manipulation tasks.
Outdoor Navigation solves the problem of moving robots in outdoor scenarios with complex terrains and traffic conditions. It includes outdoor trajectory generation and outdoor social navigation.
Place recognition localize the robot in a global map given current observations. This task includes place recognition in indoor and outdoor scenarios with various sensors.
Scene understanding analysis the environment from robots’ observations and extract important information for down-stream tasks.
