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20192026
most citedScene-level Pose Estimation for Multiple Instances of Densely Packed Objects

15 citations · 32 across the 9 of their papers we have counts for

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6 papers · 1 filter

cs.RO2026

GRAIL: Generating Humanoid Loco-Manipulation from 3D Assets and Video Priors

Tianyi Xie, Haotian Zhang, Jinhyung Park +17

Scaling humanoid loco-manipulation requires robot-compatible demonstrations across diverse objects, whole-body motions, and scene geometries, but teleoperation and motion capture a…

cs.RO2023

HANDAL: A Dataset of Real-World Manipulable Object Categories with Pose Annotations, Affordances, and Reconstructions

Andrew Guo, Bowen Wen, Jianhe Yuan +4

We present the HANDAL dataset for category-level object pose estimation and affordance prediction. Unlike previous datasets, ours is focused on robotics-ready manipulable objects t…

cs.RO2022

Learning Sensorimotor Primitives of Sequential Manipulation Tasks from Visual Demonstrations

Junchi Liang, Bowen Wen, Kostas Bekris +1

This work aims to learn how to perform complex robot manipulation tasks that are composed of several, consecutively executed low-level sub-tasks, given as input a few visual demons…

cs.RO2022

Complex In-Hand Manipulation via Compliance-Enabled Finger Gaiting and Multi-Modal Planning

Andrew S. Morgan, Kaiyu Hang, Bowen Wen +2

Constraining contacts to remain fixed on an object during manipulation limits the potential workspace size, as motion is subject to the hand's kinematic topology. Finger gaiting is…

cs.RO2020

Task-driven Perception and Manipulation for Constrained Placement of Unknown Objects

Chaitanya Mitash, Rahul Shome, Bowen Wen +2

Recent progress in robotic manipulation has dealt with the case of previously unknown objects in the context of relatively simple tasks, such as bin-picking. Existing methods for m…

cs.RO201915 cited

Scene-level Pose Estimation for Multiple Instances of Densely Packed Objects

Chaitanya Mitash, Bowen Wen, Kostas Bekris +1

This paper introduces key machine learning operations that allow the realization of robust, joint 6D pose estimation of multiple instances of objects either densely packed or in un…