Research

MobiLab studies perception, navigation, interaction, and task execution on mobile robots.

Autonomous navigation and mapping

Localization, mapping, sensor fusion, and motion control for autonomous mobile robots in indoor and outdoor environments.

Humanoid and quadruped robotics

Locomotion, manipulation, and control on humanoid and quadruped platforms, including robotic hands and operation in human environments.

Embodied AI

Machine learning for perception, decision-making, and task execution on physical robots. Topics include reinforcement learning, imitation learning, and vision-language-action (VLA) models.

Human-robot interaction and teleoperation

Natural interfaces and remote operation for robot supervision and task execution.

Manipulation and simulation

Kinematic and dynamic modeling, motion planning, and integration of manipulators, grippers, and sensors using ROS 2 and MoveIt 2. Simulation in Gazebo, MuJoCo, and Isaac Lab supports testing before experiments on hardware.

See our projects, publications, and research infrastructure.