most citedInstruct2Act: Mapping Multi-modality Instructions to Robotic Actions with Large Language Model

31 citations · 47 across the 7 of their papers we have counts for

collaborators

7 papers

cs.RO202331 cited

Instruct2Act: Mapping Multi-modality Instructions to Robotic Actions with Large Language Model

Siyuan Huang, Zhengkai Jiang, Hao Dong +3

Foundation models have made significant strides in various applications, including text-to-image generation, panoptic segmentation, and natural language processing. This paper pres…

math.NA2023

Unified high-order multi-scale method for mechanical behavior simulation and strength prediction of composite plate and shell structures

Ge Bu-Feng, Gao Ming-Yuan, Dong Hao

The complicated mesoscopic configurations of composite plate and shell structures requires a huge amount of computational overhead for directly simulating their mechanical problems…

cs.CV20224 cited

Collaboration of Pre-trained Models Makes Better Few-shot Learner

Renrui Zhang, Bohao Li, Wei Zhang +4

Few-shot classification requires deep neural networks to learn generalized representations only from limited training images, which is challenging but significant in low-data regim…

cs.RO20221 cited

Online Pole Segmentation on Range Images for Long-term LiDAR Localization in Urban Environments

Hao Dong, Xieyuanli Chen, Simo Särkkä +1

Robust and accurate localization is a basic requirement for mobile autonomous systems. Pole-like objects, such as traffic signs, poles, and lamps are frequently used landmarks for…

cs.MA20228 cited

Heterogeneous-Agent Mirror Learning: A Continuum of Solutions to Cooperative MARL

Jakub Grudzien Kuba, Xidong Feng, Shiyao Ding +3

The necessity for cooperation among intelligent machines has popularised cooperative multi-agent reinforcement learning (MARL) in the artificial intelligence (AI) research communit…

cs.CV20223 cited

Domain Randomization-Enhanced Depth Simulation and Restoration for Perceiving and Grasping Specular and Transparent Objects

Qiyu Dai, Jiyao Zhang, Qiwei Li +5

Commercial depth sensors usually generate noisy and missing depths, especially on specular and transparent objects, which poses critical issues to downstream depth or point cloud-b…