Research in practice

Projects.

Ideas, experiments, and systems—from reliable visual perception to autonomous robots and sustainable sensing.

Applications

Autonomous culvert inspection with legged robots in challenging field conditions.

Perception, planning, and hydraulic control for autonomous excavation.

Allocate limited flight time to informative measurements of vegetation condition.

Connect terrain representations and mobility models to robust mission planning.

Compact spatial graphs that preserve boundaries, bottlenecks, and context for navigation.

Reusable terrain abstractions for large-scale off-road path and mission planning.

Learn how to control onboard lighting for more reliable robot perception.

Adapt illumination and camera exposure for visual estimation in dark environments.

Learn which pixels to trust for more reliable, efficient visual navigation.

Evaluate 3D reconstructions through resolution, accuracy, coverage, and artifacts.

Constraint-aware trajectory sampling for safe, efficient robot motion.

Connect robot–terrain interaction with locomotion adaptation and risk-aware navigation.

Language-guided observation and navigation for autonomous culvert inspection.