Search Results for author:
Found 5 papers, 0 papers with code
SGTM 2.0: Autonomously Untangling Long Cables using Interactive Perception
Cables are commonplace in homes, hospitals, and industrial warehouses and are prone to tangling.
DEFT: Diverse Ensembles for Fast Transfer in Reinforcement Learning
In this work, we present Diverse Ensembles for Fast Transfer in RL (DEFT), a new ensemble-based method for reinforcement learning in highly multimodal environments and improved transfer to unseen environments.
Autonomously Untangling Long Cables
Cables are ubiquitous in many settings and it is often useful to untangle them.
Learning to Fold Real Garments with One Arm: A Case Study in Cloud-Based Robotics Research
Autonomous fabric manipulation is a longstanding challenge in robotics, but evaluating progress is difficult due to the cost and diversity of robot hardware.
CT organ segmentation using GPU data augmentation, unsupervised labels and IOU loss
To achieve the best results from data augmentation, our model uses the intersection-over-union (IOU) loss function, a close relative of the Dice loss.
