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Found 8 papers, 1 papers with code
Multiple View Performers for Shape Completion
We propose the Multiple View Performer (MVP) - a new architecture for 3D shape completion from a series of temporally sequential views.
CLAMGen: Closed-Loop Arm Motion Generation via Multi-view Vision-Based RL
We propose a vision-based reinforcement learning (RL) approach for closed-loop trajectory generation in an arm reaching problem.
Learning Your Way Without Map or Compass: Panoramic Target Driven Visual Navigation
We present a robot navigation system that uses an imitation learning framework to successfully navigate in complex environments.
MAT: Multi-Fingered Adaptive Tactile Grasping via Deep Reinforcement Learning
When this methodology is used to realize grasps from coarse initial positions provided by a vision-only planner, the system is made dramatically more robust to calibration errors in the camera-robot transform.
Multi-Modal Geometric Learning for Grasping and Manipulation
At runtime, the network is provided a partial view of an object and tactile information is acquired to augment the captured depth information.
Robotics
Shape Completion Enabled Robotic Grasping
At runtime, a 2. 5D pointcloud captured from a single point of view is fed into the CNN, which fills in the occluded regions of the scene, allowing grasps to be planned and executed on the completed object.
Robotics
Model-Driven Feed-Forward Prediction for Manipulation of Deformable Objects
A fully featured 3D model of the garment is constructed in real-time and volumetric features are then used to obtain the most similar model in the database to predict the object category and pose.
Articulated Pose Estimation Using Hierarchical Exemplar-Based Models
Exemplar-based models have achieved great success on localizing the parts of semi-rigid objects.
