Xuesu Xiao

New research enhances wheeled robots' ability to navigate uneven landscapes effectively.

The 2nd BARN Challenge showcased advancements in autonomous robot navigation systems.

Combining LiDAR and camera data improves robot navigation in crowded spaces.

A new method enhances teamwork among robots in complex environments.

Teams showcased their robot navigation skills in a challenging competition.

Robots learn to balance speed and safety in dangerous areas.

Anticipatory task and motion planning improves robot efficiency in daily activities.

Researchers use Reinforcement Learning to enhance off-road navigation for wheeled robots.

A new method enhances how robots handle tough environments for better performance.

A new system helps robots navigate challenging outdoor environments more effectively.

Robots learn to navigate tough landscapes with a new training method.

A new method enhances robot training by aligning simulated tasks with real-world scenarios.

Discover how robots are learning to navigate dynamically and follow human commands.