May 17, 2025 · Large-scale pre-training using videos has proven effective for robot learning. However, the models pre-trained on such data can be suboptimal for robot learning due to the …

Apr 22, 2025 · One-Shot Learning: RHyME enables robots to learn from just one how-to video. Mismatch Solution: The system bridges differences between human and robot actions. …

In this paper, we aim at minimizing this gap by appealing to a data-driven skill learning approach. The core idea lies in allowing the robot to learn continuous stroke-level skills that jointly …

Jun 18, 2024 · Specifically, this pipeline operates under a deep reinforcement learning (DRL) framework designed to learn drawing strategies from training data derived from real-world …

Dec 1, 2016 · We propose a neural network-based model for acquiring a computational memory that can replicate VM through self-organized learning of a robot’s actual drawing experiences.

Oct 18, 2024 · We tackle such a data collection issue with a new framework called "robot self-teaching", which asks the robot to self-generate effective training data instead of relying on …

Feb 25, 2024 · Unlike most AI-generated art, which is typically algorithmically produced, this robot leverages deep reinforcement learning techniques to create sketches stroke by stroke, akin to …

Jan 1, 2021 · In this paper, the drawing robot studied is after the system extracts the edge of the image, convert its pixels to actual physical coordinates, then control the robot to track these …

Apr 22, 2025 · RHyME paves the way for robots to learn multiple-step sequences while significantly lowering the amount of robot data needed for training, the researchers said. …

Mar 14, 2025 · We propose Sketch-to-Skill, a novel framework that leverages human-drawn 2D sketch trajectories to bootstrap and guide RL for robotic manipulation. Our approach extends …