3 papers
cs.RO2025
DiffusionRL: Efficient Training of Diffusion Policies for Robotic Grasping Using RL-Adapted Large-Scale Datasets
Maria Makarova, Qian Liu, Dzmitry Tsetserukou
Diffusion models have been successfully applied in areas such as image, video, and audio generation. Recent works show their promise for sequential decision-making and dexterous ma…
cs.RO2025
CONTHER: Context-Aware Reinforcement Learning for Robotic Manipulation with Sparse Rewards
Maria Makarova, Qian Liu, Dzmitry Tsetserukou
This paper investigates whether sequential context improves goal-conditioned Reinforcement Learning in sparse-reward manipulation tasks. While Hindsight Experience Replay (HER) add…
cs.RO2024
LucidGrasp: Robotic Framework for Autonomous Manipulation of Laboratory Equipment with Different Degrees of Transparency via 6D Pose Estimation
Maria Makarova, Daria Trinitatova, Qian Liu +1
Many modern robotic systems operate autonomously, however they often lack the ability to accurately analyze the environment and adapt to changing external conditions, while teleope…