Agricultural and forestry robot - our goal is to introduce intelligent robotic
technologies in the general areas of agriculture and forestry by establishing effective strategies
for designing, programming, and deploying such robotic systems.
Parallel and Cloud computation for long term robotics - we explore
on-board parallel computation using CUDA to speed up motion planning and the
large amount of memory and parallelism of the cloud, in our case AWS,
to create large and detailed maps.
Cooperation between ground and aerial vehicles in mapping and exploration missions
- aerial vehicles can expand the field-of-view of a ground robot. On the other hand,
a ground robot can supply power and computational resources to the aerial
vehicle. We explore these benefits to form a team that is able to explore unknown
environments, including mines and caves.
Tether-powered drones - although very intelligent, current drones
have a very limited endurance. In this research we allow the vehicles to fly
24/7 buy keeping them plugged to the power outlet. Sophisticated motion planners
and control algorithms will then guarantee that the drone's power cable will
not tangle on objects in the environment.
Landing drones on moving platforms - future applications will require
that the drones land on moving platforms. A delivery drones can, for example,
get a ride on the top of a truck to save energy while moving between two cities.
In this research we investigate motion planners and perception strategies for
precise landing of drones in unstructured and instrumented platforms.
For past research, please, visit my YouTube channel: