Chain-of-Thought Predictive Control

3 April 2023

Papers citing "Chain-of-Thought Predictive Control"

30 / 30 papers shown

Title
Think Small, Act Big: Primitive Prompt Learning for Lifelong Robot Manipulation Yuanqi Yao Siao Liu Haoming Song Delin Qu Qizhi Chen Yan Ding Bin Zhao Zhilin Wang X. Li Dong Wang CLL 66 0 0 01 Apr 2025
Inverse Reinforcement Learning via Convex Optimization Hao Zhu Yuan Zhang Joschka Boedecker 33 0 0 28 Jan 2025
Play to the Score: Stage-Guided Dynamic Multi-Sensory Fusion for Robotic Manipulation Runze Yuan Tao Liu Wenke Ma Xuelong Li 34 7 0 02 Aug 2024
MaxMI: A Maximal Mutual Information Criterion for Manipulation Concept Discovery Pei Zhou Yanchao Yang 40 1 0 21 Jul 2024
Multi-State-Action Tokenisation in Decision Transformers for Multi-Discrete Action Spaces Perusha Moodley Pramod S. Kaushik Dhillu Thambi Mark Trovinger Praveen Paruchuri Xia Hong Benjamin Rosman 50 0 0 01 Jul 2024
SAM-E: Leveraging Visual Foundation Model with Sequence Imitation for Embodied Manipulation Junjie Zhang Chenjia Bai Haoran He Wenke Xia Zhigang Wang Bin Zhao Xiu Li Xuelong Li 40 12 0 30 May 2024
InfoCon: Concept Discovery with Generative and Discriminative Informativeness Ruizhe Liu Qian Luo Yanchao Yang 32 2 0 14 Mar 2024
Diffusion World Model: Future Modeling Beyond Step-by-Step Rollout for Offline Reinforcement Learning Zihan Ding Amy Zhang Yuandong Tian Qinqing Zheng OffRL 44 17 0 05 Feb 2024
Point Cloud Matters: Rethinking the Impact of Different Observation Spaces on Robot Learning Haoyi Zhu Yating Wang Di Huang Weicai Ye Wanli Ouyang Tong He SSL 3DPC 44 20 0 04 Feb 2024
Foundation Models in Robotics: Applications, Challenges, and the Future Roya Firoozi Johnathan Tucker Stephen Tian Anirudha Majumdar Jiankai Sun ... Brian Ichter Danny Driess Jiajun Wu Cewu Lu Mac Schwager LM&Ro AI4CE LRM VLM 37 140 0 13 Dec 2023
Robot Learning in the Era of Foundation Models: A Survey Xuan Xiao Jiahang Liu Zhipeng Wang Yanmin Zhou Yong Qi Qian Cheng Bin He Shuo Jiang AI4CE LM&Ro 23 27 0 24 Nov 2023
Kinematic-aware Prompting for Generalizable Articulated Object Manipulation with LLMs Wenke Xia Dong Wang Xincheng Pang Zhigang Wang Bin Zhao Di Hu Xuelong Li LM&Ro 32 19 0 06 Nov 2023
CoT3DRef: Chain-of-Thoughts Data-Efficient 3D Visual Grounding Eslam Mohamed Bakr Mohamed Ayman Mahmoud Ahmed Habib Slim Mohamed Elhoseiny LRM 28 12 0 10 Oct 2023
Towards Better Chain-of-Thought Prompting Strategies: A Survey Zihan Yu Liang He Zhen Wu Xinyu Dai Jiajun Chen LRM 126 45 0 08 Oct 2023
Efficient Planning with Latent Diffusion Wenhao Li DiffM 38 4 0 30 Sep 2023
EasyHeC: Accurate and Automatic Hand-eye Calibration via Differentiable Rendering and Space Exploration Ling-Hao Chen Yuzhe Qin Xiaowei Zhou Hao Su 33 14 0 02 May 2023
Foundation Models for Decision Making: Problems, Methods, and Opportunities Sherry Yang Ofir Nachum Yilun Du Jason W. Wei Pieter Abbeel Dale Schuurmans LM&Ro OffRL LRM AI4CE 90 155 0 07 Mar 2023
Motion Policy Networks Adam Fishman Adithya Murali Clemens Eppner Bryan N. Peele Byron Boots D. Fox 48 55 0 21 Oct 2022
Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation Mohit Shridhar Lucas Manuelli D. Fox LM&Ro 161 457 0 12 Sep 2022
You Can't Count on Luck: Why Decision Transformers and RvS Fail in Stochastic Environments Keiran Paster Sheila A. McIlraith Jimmy Ba OffRL 165 27 0 31 May 2022
Planning with Diffusion for Flexible Behavior Synthesis Michael Janner Yilun Du J. Tenenbaum Sergey Levine DiffM 202 629 0 20 May 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 367 8,495 0 28 Jan 2022
Learning to Act with Affordance-Aware Multimodal Neural SLAM Zhiwei Jia Kaixiang Lin Yizhou Zhao Qiaozi Gao Govind Thattai Gaurav Sukhatme LM&Ro 31 15 0 24 Jan 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 305 7,443 0 11 Nov 2021
On Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning Guy Tennenholtz Assaf Hallak Gal Dalal Shie Mannor Gal Chechik Uri Shalit OOD OffRL 50 15 0 13 Oct 2021
Learning to Prompt for Vision-Language Models Kaiyang Zhou Jingkang Yang Chen Change Loy Ziwei Liu VPVLM CLIP VLM 339 2,267 0 02 Sep 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 158 472 0 06 Aug 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 340 1,955 0 04 May 2020
SAPIEN: A SimulAted Part-based Interactive ENvironment Fanbo Xiang Yuzhe Qin Kaichun Mo Yikuan Xia Hao Zhu ... He-Nan Wang Li Yi Angel X. Chang Leonidas J. Guibas Hao Su 218 487 0 19 Mar 2020
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,103 0 02 Dec 2016