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Associated Publications
6-DOF GraspNet: Variational Grasp Generation for Object Manipulation
Putting Humans in a Scene: Learning Affordance in 3D Indoor Environments
Fluidic Elastomer Actuators for Haptic Interactions in Virtual Reality
Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects
Learning Rigidity in Dynamic Scenes with a Moving Camera for 3D Motion Field Estimation
HGMR: Hierarchical Gaussian Mixtures for Adaptive 3D Registration
EOE: Expected Overlap Estimation over Unstructured Point Cloud Data
Falling Things: A Synthetic Dataset for 3D Object Detection and Pose Estimation
Geometry-Aware Learning of Maps for Camera Localization
PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes
Synthetically Trained Neural Networks for Learning Human-Readable Plans from Real-World Demonstrations
A Variable Shape and Variable Stiffness Controller for Haptic Virtual Interactions
On the Importance of Stereo for Accurate Depth Estimation: An Efficient Semi-Supervised Deep Neural Network Approach
Riemannian Motion Policies
Sim-to-Real Transfer of Accurate Grasping with Eye-In-Hand Observations and Continuous Control
Toward Low-Flying Autonomous MAV Trail Navigation using Deep Neural Networks for Environmental Awareness
Accelerated Generative Models for 3D Point Cloud Data
Researchers
Animesh Garg
Ankur Handa
Arsalan Mousavian
Benjamin Eckart
Chris Paxton
Clemens Eppner
Dieter Fox
Fabio Ramos
Iuri Frosio
Jeff Smith
Jinwei Gu
Karl Van Wyk
Kihwan Kim
Nathan Ratliff
Rowland O'Flaherty
Stan Birchfield
Stephen Tyree
Wei Yang
Yashraj Narang
Yu Xiang
Yu-Wei Chao
