-
Kit-Net: Self-Supervised Learning to Kit Novel 3D Objects into Novel 3D Cavities
In industrial part kitting, 3D objects are inserted into cavities for tr...
07/13/2021 ∙ by Shivin Devgon, et al. ∙
4
∙
share
read it
-
Information-Collection in Robotic Process Monitoring: An Active Perception Approach
Active perception systems maximizing information gain to support both mo...
05/01/2020 ∙ by Martin A. Sehr, et al. ∙
0
∙
share
read it
-
Meta-Reinforcement Learning for Robotic Industrial Insertion Tasks
Robotic insertion tasks are characterized by contact and friction mechan...
04/29/2020 ∙ by Gerrit Schoettler, et al. ∙
0
∙
share
read it
-
Industrial Robot Grasping with Deep Learning using a Programmable Logic Controller (PLC)
Universal grasping of a diverse range of previously unseen objects from ...
04/21/2020 ∙ by Eugen Solowjow, et al. ∙
0
∙
share
read it
-
UniGrasp: Learning a Unified Model to Grasp with N-Fingered Robotic Hands
To achieve a successful grasp, gripper attributes including geometry and...
10/24/2019 ∙ by Lin Shao, et al. ∙
25
∙
share
read it
-
Deep Reinforcement Learning for Industrial Insertion Tasks with Visual Inputs and Natural Rewards
Connector insertion and many other tasks commonly found in modern manufa...
06/13/2019 ∙ by Gerrit Schoettler, et al. ∙
14
∙
share
read it
-
Domain Randomization for Active Pose Estimation
Accurate state estimation is a fundamental component of robotic control....
03/10/2019 ∙ by Xinyi Ren, et al. ∙
20
∙
share
read it
-
Reinforcement Learning on Variable Impedance Controller for High-Precision Robotic Assembly
Precise robotic manipulation skills are desirable in many industrial set...
03/04/2019 ∙ by Jianlan Luo, et al. ∙
0
∙
share
read it
-
Residual Reinforcement Learning for Robot Control
Conventional feedback control methods can solve various types of robot c...
12/07/2018 ∙ by Tobias Johannink, et al. ∙
0
∙
share
read it
