Interleaving Monte Carlo Tree Search and Self-Supervised Learning for
Object Retrieval in Clutter

Interleaving Monte Carlo Tree Search and Self-Supervised Learning for Object Retrieval in Clutter

3 February 2022

Baichuan Huang

Abdeslam Boularias

Jingjin Yu

Papers citing "Interleaving Monte Carlo Tree Search and Self-Supervised Learning for Object Retrieval in Clutter"

6 / 6 papers shown

Title
ReloPush: Multi-object Rearrangement in Confined Spaces with a Nonholonomic Mobile Robot Pusher Jeeho Ahn Christoforos Mavrogiannis 72 1 0 13 Mar 2025
OPG-Policy: Occluded Push-Grasp Policy Learning with Amodal Segmentation Hao Ding Yiming Zeng Zhaoliang Wan Hui Cheng 60 1 0 06 Mar 2025
Object-Centric Kinodynamic Planning for Nonprehensile Robot Rearrangement Manipulation Kejia Ren Gaotian Wang A. S. Morgan Lydia E. Kavraki Kaiyu Hang 45 1 0 30 Sep 2024
EARL: Eye-on-Hand Reinforcement Learner for Dynamic Grasping with Active Pose Estimation Baichuan Huang Jingjin Yu Siddarth Jain 34 9 0 10 Oct 2023
Parallel Monte Carlo Tree Search with Batched Rigid-body Simulations for Speeding up Long-Horizon Episodic Robot Planning Baichuan Huang Abdeslam Boularias Jingjin Yu 12 9 0 14 Jul 2022
se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains Bowen Wen Chaitanya Mitash Baozhang Ren Kostas E. Bekris 82 127 0 27 Jul 2020