The proliferation of Large Language Models (LLMs) has s fueled a shift in robot learning
from automation towards general embodied Artificial Intelligence (AI). Adopting foundation …

A major challenge to deploying robots widely is navigation in human-populated
environments, commonly referred to as social robot navigation. While the field of social …

Most conventional wheeled robots can only move in flat environments and simply divide
their planar workspaces into free spaces and obstacles. Deeming obstacles as non …

Most autonomous navigation systems assume wheeled robots are rigid bodies and their 2D
planar workspaces can be divided into free spaces and obstacles. However, recent wheeled …

Fusarium head blight, caused by Fusarium spp., is a destructive disease of wheat
worldwide. Fusarium damaged kernels (FDKs) significantly reduce grain yield and quality …

Machine learning provides a powerful tool for building socially compliant robotic systems
that go beyond simple predictive models of human behavior. By observing and …

We propose VLM-Social-Nav, a novel Vision-Language Model (VLM) based navigation
approach to compute a robot's motion in human-centered environments. Our goal is to make …

Navigation lies at the core of social robotics, enabling robots to navigate and interact
seamlessly in human environments. The primary focus of human-aware robot navigation is …

Empowering robots to navigate in a socially compliant manner is essential for the
acceptance of robots moving in human-inhabited environments. Previously, roboticists have …

Off-road navigation on vertically challenging ter-rain, involving steep slopes and rugged
boulders, presents significant challenges for wheeled robots both at the planning level to …