2 citations · 3 across the 4 of their papers we have counts for
4 papers
E-SDS: Environment-aware See it, Do it, Sorted - Automated Environment-Aware Reinforcement Learning for Humanoid Locomotion
Enis Yalcin, Joshua O'Hara, Maria Stamatopoulou +2
Vision-language models (VLMs) show promise in automating reward design in humanoid locomotion, which could eliminate the need for tedious manual engineering. However, current VLM-b…
SDS -- See it, Do it, Sorted: Quadruped Skill Synthesis from Single Video Demonstration
Maria Stamatopoulou, Jeffrey Li, Dimitrios Kanoulas
Imagine a robot learning locomotion skills from any single video, without labels or reward engineering. We introduce SDS ("See it. Do it. Sorted."), an automated pipeline for skill…
DiPPeST: Diffusion-based Path Planner for Synthesizing Trajectories Applied on Quadruped Robots
Maria Stamatopoulou, Jianwei Liu, Dimitrios Kanoulas
We present DiPPeST, a novel image and goal conditioned diffusion-based trajectory generator for quadrupedal robot path planning. DiPPeST is a zero-shot adaptation of our previously…
DiPPeR: Diffusion-based 2D Path Planner applied on Legged Robots
Jianwei Liu, Maria Stamatopoulou, Dimitrios Kanoulas
In this work, we present DiPPeR, a novel and fast 2D path planning framework for quadrupedal locomotion, leveraging diffusion-driven techniques. Our contributions include a scalabl…