Any-point Trajectory Modeling for Policy Learning

Any-point Trajectory Modeling for Policy Learning

28 December 2023

Pieter Abbeel

Papers citing "Any-point Trajectory Modeling for Policy Learning"

18 / 68 papers shown

Title
Generative Image as Action Models Mohit Shridhar Yat Long Lo Stephen James 43 9 0 10 Jul 2024
TAPVid-3D: A Benchmark for Tracking Any Point in 3D Skanda Koppula Ignacio Rocco Yi Yang Joe Heyward João Carreira Andrew Zisserman Gabriel J. Brostow Carl Doersch 55 14 0 08 Jul 2024
Leveraging Locality to Boost Sample Efficiency in Robotic Manipulation Tong Zhang Yingdong Hu Jiacheng You Yang Gao 28 7 0 15 Jun 2024
Scaling Manipulation Learning with Visual Kinematic Chain Prediction Xinyu Zhang Yuhan Liu Haonan Chang Abdeslam Boularias 61 1 0 12 Jun 2024
Vision-based Manipulation from Single Human Video with Open-World Object Graphs Yifeng Zhu Arisrei Lim Peter Stone Yuke Zhu 34 35 0 30 May 2024
From LLMs to Actions: Latent Codes as Bridges in Hierarchical Robot Control Yide Shentu Philipp Wu Aravind Rajeswaran Pieter Abbeel 40 9 0 08 May 2024
Track2Act: Predicting Point Tracks from Internet Videos enables Diverse Zero-shot Robot Manipulation Homanga Bharadhwaj Roozbeh Mottaghi Abhinav Gupta Shubham Tulsiani 3DPC 54 16 0 02 May 2024
What Foundation Models can Bring for Robot Learning in Manipulation : A Survey Dingzhe Li Yixiang Jin A. Yong Hongze Yu Jun Shi Xiaoshuai Hao Peng Hao Huaping Liu Gang Hua Bin Fang AI4CE LM&Ro 72 13 0 28 Apr 2024
Mirage: Cross-Embodiment Zero-Shot Policy Transfer with Cross-Painting L. Chen Kush Hari K. Dharmarajan Chenfeng Xu Quan Vuong Ken Goldberg 52 20 0 29 Feb 2024
Video as the New Language for Real-World Decision Making Sherry Yang Jacob Walker Jack Parker-Holder Yilun Du Jake Bruce Andre Barreto Pieter Abbeel Dale Schuurmans VGen 29 46 0 27 Feb 2024
BootsTAP: Bootstrapped Training for Tracking-Any-Point Carl Doersch Pauline Luc Yi Yang Dilara Gokay Skanda Koppula ... Joseph Heyward Ignacio Rocco Ross Goroshin João Carreira Andrew Zisserman 42 39 0 01 Feb 2024
General Flow as Foundation Affordance for Scalable Robot Learning Chengbo Yuan Chuan Wen Tong Zhang Yang Gao AI4CE 21 31 0 21 Jan 2024
GELLO: A General, Low-Cost, and Intuitive Teleoperation Framework for Robot Manipulators Philipp Wu Yide Shentu Zhongke Yi Xingyu Lin Pieter Abbeel 30 103 0 22 Sep 2023
RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation Mel Vecerík Carl Doersch Yi Yang Todor Davchev Y. Aytar Guangyao Zhou R. Hadsell Lourdes Agapito Jonathan Scholz 56 47 0 30 Aug 2023
Transferring Foundation Models for Generalizable Robotic Manipulation Jiange Yang Wenhui Tan Chuhao Jin Keling Yao Bei Liu Jianlong Fu Ruihua Song Gangshan Wu Limin Wang LM&Ro 47 6 0 09 Jun 2023
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 308 7,443 0 11 Nov 2021
What Matters in Learning from Offline Human Demonstrations for Robot Manipulation Ajay Mandlekar Danfei Xu J. Wong Soroush Nasiriany Chen Wang Rohun Kulkarni Li Fei-Fei Silvio Savarese Yuke Zhu Roberto Martín-Martín OffRL 161 472 0 06 Aug 2021
Learning by Watching: Physical Imitation of Manipulation Skills from Human Videos Haoyu Xiong Quanzhou Li Yun-Chun Chen Homanga Bharadhwaj Samarth Sinha Animesh Garg SSL 128 93 0 18 Jan 2021