10 citations · 17 across the 5 of their papers we have counts for
8 papers
Interleaving Monte Carlo Tree Search and Self-Supervised Learning for Object Retrieval in Clutter
Baichuan Huang, Teng Guo, Abdeslam Boularias +1
In this study, working with the task of object retrieval in clutter, we have developed a robot learning framework in which Monte Carlo Tree Search (MCTS) is first applied to enable…
Fast High-Quality Tabletop Rearrangement in Bounded Workspace
Kai Gao, Darren Lau, Baichuan Huang +2
In this paper, we examine the problem of rearranging many objects on a tabletop in a cluttered setting using overhand grasps. Efficient solutions for the problem, which capture a c…
DIPN: Deep Interaction Prediction Network with Application to Clutter Removal
Baichuan Huang, Shuai D. Han, Abdeslam Boularias +1
We propose a Deep Interaction Prediction Network (DIPN) for learning to predict complex interactions that ensue as a robot end-effector pushes multiple objects, whose physical prop…
M^3VSNet: Unsupervised Multi-metric Multi-view Stereo Network
Baichuan Huang, Hongwei Yi, Can Huang +3
The present Multi-view stereo (MVS) methods with supervised learning-based networks have an impressive performance comparing with traditional MVS methods. However, the ground-truth…
M^3VSNet: Unsupervised Multi-metric Multi-view Stereo Network
Baichuan Huang, Hongwei Yi, Can Huang +3
The present Multi-view stereo (MVS) methods with supervised learning-based networks have an impressive performance comparing with traditional MVS methods. However, the ground-truth…
Advanced Autonomy on a Low-Cost Educational Drone Platform
Luke Eller, Theo Guerin, Baichuan Huang +4
PiDrone is a quadrotor platform created to accompany an introductory robotics course. Students build an autonomous flying robot from scratch and learn to program it through assignm…