3 papers
cs.RO2026
SABER: Learning Attention-based Semantic Affordance for Legged Locomotion
Hari Prasanth Palanivelu, Samuel Sze, Kennard Garrison Johannes +3
Perceptive legged locomotion has advanced rapidly by integrating terrain geometry into learned policies, yet the integration of terrain meaning remains sparse: a pipe, a patch of g…
cs.RO2024
RobotCycle: Assessing Cycling Safety in Urban Environments
Efimia Panagiotaki, Tyler Reinmund, Stephan Mouton +9
This paper introduces RobotCycle, a novel ongoing project that leverages Autonomous Vehicle (AV) research to investigate how road infrastructure influences cyclist behaviour and sa…
cs.RO2024
Real-time 3D semantic occupancy prediction for autonomous vehicles using memory-efficient sparse convolution
Samuel Sze, Lars Kunze
In autonomous vehicles, understanding the surrounding 3D environment of the ego vehicle in real-time is essential. A compact way to represent scenes while encoding geometric distan…