David Hall

Dr. David Hall is a research fellow at QUT whose long-term goal is to see robots able to cope with the unpredictable real world. David has worked as part of the robotic vision challenge group within the Australian Centre for Robotic Vision (ACRV) and QUT Centre for Robotics designing challenges, benchmarks, and evaluation measures that assist emerging areas of robotic vision research such as the probabilistic object detection (PrOD) robotic vision scene understanding (RVSU). His current research focuses are on using implicit representations of objects for high-fidelity semantic maps. Further information about David's past work and publications can be found at his personal website.
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Posts by David Hall

Technical Walkthrough 1

Making Robotics Easier with BenchBot and NVIDIA Isaac Sim

Working on robotics is full of exciting and interesting problems but also days lost to humbling problems like sensor calibration, building transform trees,... 11 MIN READ