Survey of learning-based approaches for robotic in-hand manipulation
AI Weinberg, A Shirizly, O Azulay… - Frontiers in Robotics and …, 2024 - frontiersin.org
Human dexterity is an invaluable capability for precise manipulation of objects in complex
tasks. The capability of robots to similarly grasp and perform in-hand manipulation of objects …
tasks. The capability of robots to similarly grasp and perform in-hand manipulation of objects …
Robot Skill Generalization via Keypoint Integrated Soft Actor-Critic Gaussian Mixture Models
I Nematollahi, K Yankov, W Burgard… - … on Experimental Robotics, 2023 - Springer
A long-standing challenge for a robotic manipulation system operating in real-world
scenarios is adapting and generalizing its acquired motor skills to unseen environments. We …
scenarios is adapting and generalizing its acquired motor skills to unseen environments. We …
PickSim: A dynamically configurable Gazebo pipeline for robotic manipulation
State-of-the art robot learning approaches are data-driven and require a large amount of
diverse robot data which are prohibitively expensive to acquire. In this paper, we present …
diverse robot data which are prohibitively expensive to acquire. In this paper, we present …
Interactive Visuo-Tactile Learning to Estimate Properties of Articulated Objects
Robotic systems operating in unstructured environments must infer key physical properties
of objects, such as stiffness, mass, center of mass, friction, and shape, to ensure stable …
of objects, such as stiffness, mass, center of mass, friction, and shape, to ensure stable …