2 papers
cs.RO2025
Learning Terrain-Specialized Policies for Adaptive Locomotion in Challenging Environments
Matheus P. Angarola, Francisco Affonso, Marcelo Becker
Legged robots must exhibit robust and agile locomotion across diverse, unstructured terrains, a challenge exacerbated under blind locomotion settings where terrain information is u…
cs.RO2025
End-to-End Crop Row Navigation via LiDAR-Based Deep Reinforcement Learning
Ana Luiza Mineiro, Francisco Affonso, Marcelo Becker
Reliable navigation in under-canopy agricultural environments remains a challenge due to GNSS unreliability, cluttered rows, and variable lighting. To address these limitations, we…