Our vision is to build robot perception systems that can enable long-term and distributed autonomy.

Robot perception is the problem of building an actionable representation of the environment from sensor measurements (see our recent paper). A robot uses these representations to plan and execute actions in the real-world. We leverage our expertise in machine learning, computer vision, and optimization to develop robot perception algorithms and systems for long-term and distributed autonomy.

We are the Perceptica Robotics Lab in the Department of Electrical and Computer Engineering at the National University of Singapore.