The LRP team around Horst Possegger and Alexander Prutsch has been awarded a prestigious NVIDIA Academic Grant!
Their project on efficient end-to-end driving for embedded robotics is being supported with 6 months of cloud compute access, alongside hardware for simulations and edge-deployment experiments. This support enables the team to deploy large-scale model training for efficient vision-based motion planning and to explore real-world deployment optimizations.
Looking forward to advancing autonomous robotics research!
This research is supported by the NVIDIA Academic Grant Program using an NVIDIA H100 GPU instance on Brev, an NVIDIA Jetson AGX Orin Developer Kit, and an NVIDIA RTX PRO 6000 Blackwell Workstation Edition.
