Skip to content
GCC AI Research

Search

Results for "trajectory planning"

Team NimbRo at MBZIRC 2017: Fast Landing on a Moving Target and Treasure Hunting with a Team of MAVs

arXiv ·

The article discusses Team NimbRo's approaches to challenges involving micro aerial vehicles (MAV) at the Mohamed Bin Zayed International Robotics Challenge (MBZIRC) 2017. The challenges included landing on a moving vehicle and a treasure hunt task requiring mission planning and multi-robot coordination. The team's system achieved a third place in both subchallenges and contributed to winning the MBZIRC Grand Challenge. Why it matters: This demonstrates advanced robotics capabilities developed and tested in the UAE, pushing the boundaries of autonomous aerial vehicle operation and multi-robot collaboration.