Fetching the paper…
Reading the bibliography…
This paper explores a novel task "Dexterous Grasp as You Say" (DexGYS), enabling robots to perform dexterous grasping based on human commands expressed in natural language.
Planning optimal grasps
Carlo Ferrari, J Canny, et al · 1992
Earlier work this paper cites.
On characterizing and computing three-and four-finger force-closure grasps of polyhedral objects
Jean Ponce, Steve Sullivan, J-D Boissonnat, and J-P Merlet · 1993
Earlier work this paper cites.
Graspit! a versatile simulator for robotic grasping
Andrew T Miller and Peter K Allen · 2004
Earlier work this paper cites.
https://www.shadowrobot.com/dexterous-hand-series/ , 2005
Shadowrobot · 2005
Earlier work this paper cites.
Generating multi-fingered robotic grasps via deep learning
Jacob Varley, Jonathan Weisz, Jared Weiss, and Peter Allen · 2015
Earlier work this paper cites.
Learning structured output representation using deep conditional generative models
Kihyuk Sohn, Honglak Lee, and Xinchen Yan · 2015
Earlier work this paper cites.
Sgdr: Stochastic gradient descent with warm restarts
Ilya Loshchilov and Frank Hutter · 2016
Earlier work this paper cites.
Embodied hands
Javier Romero, Dimitrios Tzionas, and Michael J Black · 2017
Earlier work this paper cites.
Pointnet++: Deep hierarchical feature learning on point sets in a metric space
Charles Ruizhongtai Qi, Li Yi, Hao Su, and Leonidas J Guibas · 2017
Earlier work this paper cites.
A point set generation network for 3d object reconstruction from a single image
Haoqiang Fan, Hao Su, and Leonidas J Guibas · 2017
Earlier work this paper cites.
Gans trained by a two time-scale update rule converge to a local nash equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 2017
Earlier work this paper cites.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
Earlier work this paper cites.
Pcn: Point completion network
Wentao Yuan, Tejas Khot, David Held, Christoph Mertz, and Martial Hebert · 2018
Earlier work this paper cites.
Learning joint reconstruction of hands and manipulated objects
Yana Hasson, Gul Varol, Dimitrios Tzionas, Igor Kalevatykh, Michael J Black, Ivan Laptev, and Cordelia Schmid · 2019
Earlier work this paper cites.
Deep differentiable grasp planner for high-dof grippers
Min Liu, Zherong Pan, Kai Xu, Kanishka Ganguly, and Dinesh Manocha · 2020
Earlier work this paper cites.
Unigrasp: Learning a unified model to grasp with multifingered robotic hands
Lin Shao, Fabio Ferreira, Mikael Jorda, Varun Nambiar, Jianlan Luo, Eugen Solowjow, Juan Aparicio Ojea, Oussama Khatib, and Jeannette Bohg · 2020
Earlier work this paper cites.
Graspnet-1billion: A large-scale benchmark for general object grasping
Hao-Shu Fang, Chenxi Wang, Minghao Gou, and Cewu Lu · 2020
Earlier work this paper cites.
Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
Earlier work this paper cites.
Synthesizing diverse and physically stable grasps with arbitrary hand structures using differentiable force closure estimator
Tengyu Liu, Zeyu Liu, Ziyuan Jiao, Yixin Zhu, and Song-Chun Zhu · 2021
Earlier work this paper cites.
Toward human-like grasp: Dexterous grasping via semantic representation of object-hand
Tianqiang Zhu, Rina Wu, Xiangbo Lin, and Yi Sun · 2021
Earlier work this paper cites.
Acronym: A large-scale grasp dataset based on simulation
Clemens Eppner, Arsalan Mousavian, and Dieter Fox · 2021
Cited alongside, same era.
Dexycb: A benchmark for capturing hand grasping of objects
Yu-Wei Chao, Wei Yang, Yu Xiang, Pavlo Molchanov, Ankur Handa, Jonathan Tremblay, Yashraj S Narang, Karl Van Wyk, Umar Iqbal, Stan Birchfield, et al · 2021
Cited alongside, same era.
Same object, different grasps: Data and semantic knowledge for task-oriented grasping
Adithyavairavan Murali, Weiyu Liu, Kenneth Marino, Sonia Chernova, and Abhinav Gupta · 2021
Cited alongside, same era.
Cliport: What and where pathways for robotic manipulation
Mohit Shridhar, Lucas Manuelli, and Dieter Fox · 2021
Cited alongside, same era.
Hand-object contact consistency reasoning for human grasps generation
Hanwen Jiang, Shaowei Liu, Jiashun Wang, and Xiaolong Wang · 2021
Cited alongside, same era.
Learning transferable visual models from natural language supervision
Dexgraspnet: A large-scale robotic dexterous grasp dataset for general objects based on simulation
Ruicheng Wang, Jialiang Zhang, Jiayi Chen, Yinzhen Xu, Puhao Li, Tengyu Liu, and He Wang · 2023
Later among the works it cites.
Unidexgrasp: Universal robotic dexterous grasping via learning diverse proposal generation and goal-conditioned policy
Yinzhen Xu, Weikang Wan, Jialiang Zhang, Haoran Liu, Zikang Shan, Hao Shen, Ruicheng Wang, Haoran Geng, Yijia Weng, Jiayi Chen, et al · 2023
Later among the works it cites.
Task-oriented grasp prediction with visual-language inputs
Chao Tang, Dehao Huang, Lingxiao Meng, Weiyu Liu, and Hong Zhang · 2023
Later among the works it cites.
Affordpose: A large-scale dataset of hand-object interactions with affordance-driven hand pose
Juntao Jian, Xiuping Liu, Manyi Li, Ruizhen Hu, and Jian Liu · 2023
Later among the works it cites.
Graspgpt: Leveraging semantic knowledge from a large language model for task-oriented grasping
Chao Tang, Dehao Huang, Wenqi Ge, Weiyu Liu, and Hong Zhang · 2023
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
Cited alongside, same era.
Graspness discovery in clutters for fast and accurate grasp detection
Chenxi Wang, Hao-Shu Fang, Minghao Gou, Hongjie Fang, Jin Gao, and Cewu Lu · 2021
Cited alongside, same era.
Grasp’d: Differentiable contact-rich grasp synthesis for multi-fingered hands
Dylan Turpin, Liquan Wang, Eric Heiden, Yun-Chun Chen, Miles Macklin, Stavros Tsogkas, Sven Dickinson, and Animesh Garg · 2022
Cited alongside, same era.
Efficientgrasp: A unified data-efficient learning to grasp method for multi-fingered robot hands
Kelin Li, Nicholas Baron, Xian Zhang, and Nicolas Rojas · 2022
Cited alongside, same era.
Oakink: A large-scale knowledge repository for understanding hand-object interaction
Lixin Yang, Kailin Li, Xinyu Zhan, Fei Wu, Anran Xu, Liu Liu, and Cewu Lu · 2022
Cited alongside, same era.
Bc-z: Zero-shot task generalization with robotic imitation learning
Eric Jang, Alex Irpan, Mohi Khansari, Daniel Kappler, Frederik Ebert, Corey Lynch, Sergey Levine, and Chelsea Finn · 2022
Cited alongside, same era.
What matters in language conditioned robotic imitation learning over unstructured data
Oier Mees, Lukas Hermann, and Wolfram Burgard · 2022
Cited alongside, same era.
A joint modeling of vision-language-action for target-oriented grasping in clutter
Kechun Xu, Shuqi Zhao, Zhongxiang Zhou, Zizhang Li, Huaijin Pi, Yifeng Zhu, Yue Wang, and Rong Xiong · 2023
Later among the works it cites.
Palm-e: An embodied multimodal language model
Danny Driess, Fei Xia, Mehdi S. M. Sajjadi, Corey Lynch, and Aakanksha et al. Chowdhery · 2023
Later among the works it cites.
Se (3)-diffusionfields: Learning smooth cost functions for joint grasp and motion optimization through diffusion
Julen Urain, Niklas Funk, Jan Peters, and Georgia Chalvatzaki · 2023
Later among the works it cites.
Grounding dino: Marrying dino with grounded pre-training for open-set object detection
Shilong Liu, Zhaoyang Zeng, Tianhe Ren, Feng Li, Hao Zhang, Jie Yang, Chunyuan Li, Jianwei Yang, Hang Su, Jun Zhu, et al · 2023
Later among the works it cites.
Segment anything
Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C Berg, Wan-Yen Lo, et al · 2023
Later among the works it cites.
Leap hand: Low-cost, efficient, and anthropomorphic hand for robot learning
Kenneth Shaw, Ananye Agarwal, and Deepak Pathak · 2023
Later among the works it cites.
Dexdiffuser: Generating dexterous grasps with diffusion models
Zehang Weng, Haofei Lu, Danica Kragic, and Jens Lundell · 2024
Closest in time.
Dexterous grasp transformer
Guo-Hao Xu, Yi-Lin Wei, Dian Zheng, Xiao-Ming Wu, and Wei-Shi Zheng · 2024
Closest in time.
An economic framework for 6-dof grasp detection
Xiao-Ming Wu, Jiafeng Cai, Jian-Jian Jiang, Dian Zheng, Yi-Lin Wei, and Wei-Shi Zheng · 2024
Closest in time.
Real-to-sim grasp: Rethinking the gap between simulation and real world in grasp detection
Jia-Feng Cai, Zibo Chen, Xiao-Ming Wu, Jian-Jian Jiang, Yi-Lin Wei, and Wei-Shi Zheng · 2024
Closest in time.
Semgrasp: Semantic grasp generation via language aligned discretization
Kailin Li, Jingbo Wang, Lixin Yang, Cewu Lu, and Bo Dai · 2024
Closest in time.
Single-view scene point cloud human grasp generation
Yan-Kang Wang, Chengyi Xing, Yi-Lin Wei, Xiao-Ming Wu, and Wei-Shi Zheng · 2024
Closest in time.
Reasoning grasping via multimodal large language model
Shiyu Jin, Jinxuan Xu, Yutian Lei, and Liangjun Zhang · 2024
Closest in time.
Anyskill: Learning open-vocabulary physical skill for interactive agents
Jieming Cui, Tengyu Liu, Nian Liu, Yaodong Yang, Yixin Zhu, and Siyuan Huang · 2024
Closest in time.