activity
20192023
most citedEfficient Path Planning in Narrow Passages for Robots with Ellipsoidal Components

52 citations · 59 across the 8 of their papers we have counts for

collaborators

8 papers

cs.RO2023

MOMA-Force: Visual-Force Imitation for Real-World Mobile Manipulation

Taozheng Yang, Ya Jing, Hongtao Wu +5

In this paper, we present a novel method for mobile manipulators to perform multiple contact-rich manipulation tasks. While learning-based methods have the potential to generate ac…

cs.RO2023

Prepare the Chair for the Bear! Robot Imagination of Sitting Affordance to Reorient Previously Unseen Chairs

Xin Meng, Hongtao Wu, Sipu Ruan +1

In this letter, a paradigm for the classification and manipulation of previously unseen objects is established and demonstrated through a real example of chairs. We present a novel…

cs.RO2022★ 1 cited

Transporters with Visual Foresight for Solving Unseen Rearrangement Tasks

Hongtao Wu, Jikai Ye, Xin Meng +2

Rearrangement tasks have been identified as a crucial challenge for intelligent robotic manipulation, but few methods allow for precise construction of unseen structures. We propos…

cs.RO2021

Put the Bear on the Chair! Intelligent Robot Interaction with Previously Unseen Chairs via Robot Imagination

Hongtao Wu, Xin Meng, Sipu Ruan +1

In this paper, we study the problem of autonomously seating a teddy bear on a previously unseen chair. To achieve this goal, we present a novel method for robots to imagine the sit…

cs.RO2021★ 52 cited

Efficient Path Planning in Narrow Passages for Robots with Ellipsoidal Components

Sipu Ruan, Karen L. Poblete, Hongtao Wu +2

Path planning has long been one of the major research areas in robotics, with PRM and RRT being two of the most effective classes of planners. Though generally very efficient, thes…

cs.RO2020★ 2 cited

Can I Pour into It? Robot Imagining Open Containability Affordance of Previously Unseen Objects via Physical Simulations

Hongtao Wu, Gregory S. Chirikjian

Open containers, i.e., containers without covers, are an important and ubiquitous class of objects in human life. In this letter, we propose a novel method for robots to "imagine"…

cs.CL2020★ 3 cited

MATINF: A Jointly Labeled Large-Scale Dataset for Classification, Question Answering and Summarization

Canwen Xu, Jiaxin Pei, Hongtao Wu +2

Recently, large-scale datasets have vastly facilitated the development in nearly all domains of Natural Language Processing. However, there is currently no cross-task dataset in NL…

cs.RO2019★ 1 cited

Is That a Chair? Imagining Affordances Using Simulations of an Articulated Human Body

Hongtao Wu, Deven Misra, Gregory S. Chirikjian

For robots to exhibit a high level of intelligence in the real world, they must be able to assess objects for which they have no prior knowledge. Therefore, it is crucial for robot…