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Found 6 papers, 2 papers with code
ORGANA: A Robotic Assistant for Automated Chemistry Experimentation and Characterization
Despite the many benefits incurred by the integration of advanced and special-purpose lab equipment, many aspects of experimentation are still manually conducted by chemists, for example, polishing an electrode in electrochemistry experiments.
Model-free Reinforcement Learning for Robust Locomotion using Demonstrations from Trajectory Optimization
We present a general, two-stage reinforcement learning approach to create robust policies that can be deployed on real robots without any additional training using a single demonstration generated by trajectory optimization.
TriFinger: An Open-Source Robot for Learning Dexterity
Dexterous object manipulation remains an open problem in robotics, despite the rapid progress in machine learning during the past decade.
Learning to Explore in Motion and Interaction Tasks
In this paper we present a novel approach for efficient exploration that leverages previously learned tasks.
Learning Variable Impedance Control for Contact Sensitive Tasks
We propose learning a policy giving as output impedance and desired position in joint space and compare the performance of that approach to torque and position control under different contact uncertainties.
Leveraging Contact Forces for Learning to Grasp
While it is possible to learn grasping policies without contact sensing, our results suggest that contact feedback allows for a significant improvement of grasping robustness under object pose uncertainty and for objects with a complex shape.
