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How Important are Data Augmentations to Close the Domain Gap for Object Detection in Orbit?
We investigate the efficacy of data augmentations to close the domain gap in spaceborne computer vision, crucial for autonomous operations like on-orbit servicing.
6D Object Pose Estimation from Approximate 3D Models for Orbital Robotics
We present a novel technique to estimate the 6D pose of objects from single images where the 3D geometry of the object is only given approximately and not as a precise 3D model.
Learning Robotic Manipulation Skills Using an Adaptive Force-Impedance Action Space
We combine these components through a bio-inspired action space that we call AFORCE.
Seeking Visual Discomfort: Curiosity-driven Representations for Reinforcement Learning
Our method enhances the exploration capability of RL algorithms, by taking advantage of the SRL setup.
Making Curiosity Explicit in Vision-based RL
Our method enhances the exploration capability of the RL algorithms by taking advantage of the SRL setup.
Learning Vision-based Reactive Policies for Obstacle Avoidance
In this paper, we address the problem of vision-based obstacle avoidance for robotic manipulators.
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