3 accepted papers
Effective navigation in dynamic three-dimensional (3D) environments is essential for autonomous unmanned aerial vehicles (UAVs), but existing methods often lack computational efficiency and robustness. To address these challenges, this paper presents a path planning framework that combines a lightwe
When deploying modern machine learning-enabled robotic systems in high-stakes applications, detecting distribution shift is critical. However, most existing methods for detecting distribution shift are not well-suited to robotics settings, where data often arrives in a streaming fashion and may be v…
Disinfection robots have applications in promoting public health and reducing hospital acquired infections and have drawn considerable interest due to the COVID-19 pan-demic. To disinfect a room quickly, motion planning can be used to plan robot disinfection trajectories on a reconstructed 3D map of…