Recent advances in diffusion models have opened new avenues for research into embodied
AI agents and robotics. Despite significant achievements in complex robotic locomotion and …

Recently, the diffusion model has emerged as a powerful generative technique for robotic
policy learning, capable of modeling multi-mode action distributions. Leveraging its …

The performance of optimization-based robot motion planning algorithms is highly
dependent on the initial solutions, commonly obtained by running a sampling-based planner …

This paper presents LiteVLoc, a hierarchical visual localization framework that uses a
lightweight topo-metric map to represent the environment. The method consists of three …

The integration of Generative Artificial Intelligence (AI) into autonomous machines
represents a major paradigm shift in how these systems operate and unlocks new solutions …

In this paper, we present SDS (``See it. Do it. Sorted.''), a novel pipeline for intuitive
quadrupedal skill learning from a single demonstration video. Leveraging the Visual …