Fine-Tuning Generative Models as an Inference Method for Robotic Tasks

19 October 2023

Papers citing "Fine-Tuning Generative Models as an Inference Method for Robotic Tasks"

5 / 5 papers shown

Title
Incremental Few-Shot Adaptation for Non-Prehensile Object Manipulation using Parallelizable Physics Simulators Fabian Baumeister Lukas Mack Joerg Stueckler 26 2 0 20 Sep 2024
Can Large Language Models Unlock Novel Scientific Research Ideas? Sandeep Kumar Tirthankar Ghosal Vinayak Goyal Asif Ekbal ALM LRM AI4CE 18 10 0 10 Sep 2024
Simulation-based Bayesian inference for multi-fingered robotic grasping Norman Marlier O. Bruls Gilles Louppe 16 5 0 29 Sep 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 234 11,568 0 09 Mar 2017
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 210 13,886 0 02 Dec 2016