Predictive Inverse Dynamics Models are Scalable Learners for Robotic Manipulation

19 December 2024

Papers citing "Predictive Inverse Dynamics Models are Scalable Learners for Robotic Manipulation"

8 / 8 papers shown

Title
UIShift: Enhancing VLM-based GUI Agents through Self-supervised Reinforcement Learning Longxi Gao Li Zhang Mengwei Xu 17 0 0 18 May 2025
Conditioning Matters: Training Diffusion Policies is Faster Than You Think Zibin Dong Yicheng Liu Yinchuan Li Hang Zhao Haifeng Zhang 24 0 0 16 May 2025
LaDi-WM: A Latent Diffusion-based World Model for Predictive Manipulation Yuhang Huang Jiazhao Zhang SHilong Zou Xinwang Liu Ruizhen Hu Kai Xu 17 0 0 13 May 2025
ReinboT: Amplifying Robot Visual-Language Manipulation with Reinforcement Learning Hongyin Zhang Zifeng Zhuang Han Zhao Pengxiang Ding Hongchao Lu Donglin Wang OffRL 48 0 0 12 May 2025
Pixel Motion as Universal Representation for Robot Control Kanchana Ranasinghe Xiang Li Cristina Mata J. Park Michael S. Ryoo VGen 37 0 0 12 May 2025
3D CAVLA: Leveraging Depth and 3D Context to Generalize Vision Language Action Models for Unseen Tasks V. Bhat Yu-Hsiang Lan Prashanth Krishnamurthy Ramesh Karri Farshad Khorrami 57 0 0 09 May 2025
ViSA-Flow: Accelerating Robot Skill Learning via Large-Scale Video Semantic Action Flow Changhe Chen Quantao Yang Xiaohao Xu Nima Fazeli Olov Andersson 31 0 0 02 May 2025
RoboGround: Robotic Manipulation with Grounded Vision-Language Priors Haifeng Huang Xinyi Chen Yuxiao Chen Yiming Li Xiaoshen Han Zihao Wang Tai Wang Jiangmiao Pang Zhou Zhao LM&Ro 80 0 0 30 Apr 2025