8 citations · 23 across the 9 of their papers we have counts for
10 papers
SRPose: Two-view Relative Pose Estimation with Sparse Keypoints
Rui Yin, Yulun Zhang, Zherong Pan +3
Two-view pose estimation is essential for map-free visual relocalization and object pose tracking tasks. However, traditional matching methods suffer from time-consuming robust est…
Sim-to-Real Brush Manipulation using Behavior Cloning and Reinforcement Learning
Biao Jia, Dinesh Manocha
Developing proficient brush manipulation capabilities in real-world scenarios is a complex and challenging endeavor, with wide-ranging applications in fields such as art, robotics,…
Multi-Robot Path Planning Using Medial-Axis-Based Pebble-Graph Embedding
Liang He, Zherong Pan, Kiril Solovey +2
We present a centralized algorithm for labeled, disk-shaped Multi-Robot Path Planning (MPP) in a continuous planar workspace with polygonal boundaries. Our method automatically tra…
LPaintB: Learning to Paint from Self-Supervision
Biao Jia, Jonathan Brandt, Radomir Mech +2
We present a novel reinforcement learning-based natural media painting algorithm. Our goal is to reproduce a reference image using brush strokes and we encode the objective through…
PaintBot: A Reinforcement Learning Approach for Natural Media Painting
Biao Jia, Chen Fang, Jonathan Brandt +2
We propose a new automated digital painting framework, based on a painting agent trained through reinforcement learning. To synthesize an image, the agent selects a sequence of con…
Fast Motion Planning for High-DOF Robot Systems Using Hierarchical System Identification
Biao Jia, Zherong Pan, Dinesh Manocha
We present an efficient algorithm for motion planning and control of a robot system with a high number of degrees-of-freedom. These include high-DOF soft robots or an articulated r…
Learning-based Feedback Controller for Deformable Object Manipulation
Biao Jia, Zhe Hu, Zherong Pan +2
In this paper, we present a general learning-based framework to automatically visual-servo control the position and shape of a deformable object with unknown deformation parameters…
Cloth Manipulation Using Random-Forest-Based Imitation Learning
Biao Jia, Zherong Pan, Zhe Hu +2
We present a novel approach for robust manipulation of high-DOF deformable objects such as cloth. Our approach uses a random forest-based controller that maps the observed visual f…
Manipulating Highly Deformable Materials Using a Visual Feedback Dictionary
Biao Jia, Zhe Hu, Jia Pan +1
The complex physical properties of highly deformable materials such as clothes pose significant challenges fanipulation systems. We present a novel visual feedback dictionary-based…
Efficient Generation of Motion Plans from Attribute-Based Natural Language Instructions Using Dynamic Constraint Mapping
Jae Sung Park, Biao Jia, Mohit Bansal +1
We present an algorithm for combining natural language processing (NLP) and fast robot motion planning to automatically generate robot movements. Our formulation uses a novel conce…