Online augmentation of learned grasp sequence policies for more adaptable and data-efficient in-hand manipulation

4 April 2023

Papers citing "Online augmentation of learned grasp sequence policies for more adaptable and data-efficient in-hand manipulation"

8 / 8 papers shown

Title
On the Feasibility of A Mixed-Method Approach for Solving Long Horizon Task-Oriented Dexterous Manipulation Shaunak A. Mehta Rana Soltani Zarrin 26 0 0 09 Oct 2024
Diffusion-Informed Probabilistic Contact Search for Multi-Finger Manipulation Abhinav Kumar Thomas Power Fan Yang Sergio Aguilera Marinovic Soshi Iba Rana Soltani Zarrin Dmitry Berenson 31 0 0 01 Oct 2024
APriCoT: Action Primitives based on Contact-state Transition for In-Hand Tool Manipulation Daichi Saito Atsushi Kanehira Kazuhiro Sasabuchi Naoki Wake Jun Takamatsu Hideki Koike Katsushi Ikeuchi 40 0 0 16 Jul 2024
A Standard Rigid Transformation Notation Convention for Robotics Research Philippe Nadeau 41 2 0 12 May 2024
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 21 26 0 24 Nov 2023
Hybrid Learning- and Model-Based Planning and Control of In-Hand Manipulation Rana Soltani-Zarrin K. Yamane Rianna M. Jitosho 46 7 0 20 Sep 2022
Augmenting Reinforcement Learning with Behavior Primitives for Diverse Manipulation Tasks Soroush Nasiriany Huihan Liu Yuke Zhu 80 109 0 07 Oct 2021
Deep Dynamics Models for Learning Dexterous Manipulation Anusha Nagabandi K. Konolige Sergey Levine Vikash Kumar 143 407 0 25 Sep 2019