research
∙
06/29/2023
Can Machines Garden? Systematically Comparing the AlphaGarden vs. Professional Horticulturalists
The AlphaGarden is an automated testbed for indoor polyculture farming w...
share
research
∙
06/27/2023
IIFL: Implicit Interactive Fleet Learning from Heterogeneous Human Supervisors
Imitation learning has been applied to a range of robotic tasks, but can...
research
∙
10/27/2022
Learning on the Job: Self-Rewarding Offline-to-Online Finetuning for Industrial Insertion of Novel Connectors from Vision
Learning-based methods in robotics hold the promise of generalization, b...
research
∙
10/13/2022
Learning to Efficiently Plan Robust Frictional Multi-Object Grasps
We consider a decluttering problem where multiple rigid convex polygonal...
research
∙
11/29/2021
LEGS: Learning Efficient Grasp Sets for Exploratory Grasping
Previous work defined Exploratory Grasping, where a robot iteratively gr...
research
∙
07/13/2021
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...
research
∙
05/01/2020
Information-Collection in Robotic Process Monitoring: An Active Perception Approach
Active perception systems maximizing information gain to support both mo...
research
∙
04/29/2020
Meta-Reinforcement Learning for Robotic Industrial Insertion Tasks
Robotic insertion tasks are characterized by contact and friction mechan...
research
∙
04/21/2020
Industrial Robot Grasping with Deep Learning using a Programmable Logic Controller (PLC)
Universal grasping of a diverse range of previously unseen objects from ...
research
∙
10/24/2019
UniGrasp: Learning a Unified Model to Grasp with N-Fingered Robotic Hands
To achieve a successful grasp, gripper attributes including geometry and...
research
∙
06/13/2019
Deep Reinforcement Learning for Industrial Insertion Tasks with Visual Inputs and Natural Rewards
Connector insertion and many other tasks commonly found in modern manufa...
research
∙
03/10/2019
Domain Randomization for Active Pose Estimation
Accurate state estimation is a fundamental component of robotic control....
research
∙
03/04/2019
Reinforcement Learning on Variable Impedance Controller for High-Precision Robotic Assembly
Precise robotic manipulation skills are desirable in many industrial set...
research
∙
12/07/2018