Robotics
Associated Publications
DexYCB: A Benchmark for Capturing Hand Grasping of ObjectsRGB-D Local Implicit Function for Depth Completion of Transparent Objects
Reactive Human-to-Robot Handovers of Arbitrary Objects
Object Rearrangement Using Learned Implicit Collision Functions
Contact-GraspNet: Efficient 6-DoF Grasp Generation in Cluttered Scenes
Transferable Task Execution from Pixels through Deep Planning Domain Learning
RMPflow: A Geometric Framework for Generation of Multi-Task Motion Policies
RMPflow: A Computational Graph for Automatic Motion Policy Generation
Robust Learning of Tactile Force Estimation through Robot Interaction
Contextual Reinforcement Learning of Visuo-tactile Multi-fingered Grasping Policies
Joint Space Control via Deep Reinforcement Learning
Human Grasp Classification for Reactive Human-to-Robot Handovers
Collaborative Interaction Models for Optimized Human-Robot Teamwork
“Good Robot!”: Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer
OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation
Indirect Object-to-Robot Pose Estimation from an External Monocular RGB Camera
Automated Synthetic-to-Real Generalization
MVLidarNet: Real-Time Multi-Class Scene Understanding for Autonomous Driving Using Multiple Views
DexPilot: Vision Based Teleoperation of Dexterous Robotic Hand-Arm System
6-DOF Grasping for Target-driven Object Manipulation in Clutter
Online replanning in belief space for partially observable task and motion problems
Motion reasoning for goal-based imitation learning
Toward Sim-to-Real Directional Semantic Grasping
Camera-to-Robot Pose Estimation from a Single Image
6-DOF GraspNet: Variational Grasp Generation for Object Manipulation
Representing robot task plans as robust logical-dynamical systems
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
Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training
Simultaneous Edge Alignment and Learning
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
Adithya MuraliAnimesh Garg
Ankur Handa
Arsalan Mousavian
Balakumar Sundaralingam
Benjamin Eckart
Byron Boots
Chris Paxton
Clemens Eppner
De-An Huang
Dieter Fox
Fabio Ramos
Iuri Frosio
Jeff Smith
Jonathan Tremblay
Karl Van Wyk
Lucas Manuelli
Marco Pavone
Nathan Ratliff
Rowland O'Flaherty
Stan Birchfield
Stephen Tyree
Tucker Hermans
Wei Yang
Wonmin Byeon
Yashraj Narang
Yu Xiang
Yu-Wei Chao
Yuke Zhu
Zhiding Yu