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Found 6 papers, 1 papers with code
Exosense: A Vision-Centric Scene Understanding System For Safe Exoskeleton Navigation
We demonstrate the system's robustness to the challenges of typical periodic walking gaits, and its ability to construct accurate semantically-rich maps in indoor settings.
SiLVR: Scalable Lidar-Visual Reconstruction with Neural Radiance Fields for Robotic Inspection
We present a neural-field-based large-scale reconstruction system that fuses lidar and vision data to generate high-quality reconstructions that are geometrically accurate and capture photo-realistic textures.
Resilient Legged Local Navigation: Learning to Traverse with Compromised Perception End-to-End
In this paper, we model perception failures as invisible obstacles and pits, and train a reinforcement learning (RL) based local navigation policy to guide our legged robot.
MEM: Multi-Modal Elevation Mapping for Robotics and Learning
Elevation maps are commonly used to represent the environment of mobile robots and are instrumental for locomotion and navigation tasks.
Language-EXtended Indoor SLAM (LEXIS): A Versatile System for Real-time Visual Scene Understanding
We use this representation for flexible room classification and segmentation, serving as a basis for room-centric place recognition.
Fast Traversability Estimation for Wild Visual Navigation
We demonstrate the advantages of our approach with experiments and ablation studies in challenging environments in forests, parks, and grasslands.
