Deep sequential models for sampling-based planning

1 October 2018

Papers citing "Deep sequential models for sampling-based planning"

7 / 7 papers shown

Title
PRESTO: Fast Motion Planning Using Diffusion Models Based on Key-Configuration Environment Representation Mingyo Seo Yoonyoung Cho Yoonchang Sung Peter Stone Yuke Zhu Beomjoon Kim DiffM 32 0 0 24 Sep 2024
Non-Trivial Query Sampling For Efficient Learning To Plan S. Joshi Panagiotis Tsiotras 26 0 0 12 Mar 2023
Planning from Pixels in Environments with Combinatorially Hard Search Spaces Marco Bagatella Miroslav Olsák Michal Rolínek Georg Martius OffRL 23 6 0 12 Oct 2021
CLAMGen: Closed-Loop Arm Motion Generation via Multi-view Vision-Based RL Iretiayo Akinola Zizhao Wang Peter K. Allen 37 2 0 24 Mar 2021
Deep compositional robotic planners that follow natural language commands Yen-Ling Kuo Boris Katz Andrei Barbu LM&Ro 26 22 0 12 Feb 2020
LEGO: Leveraging Experience in Roadmap Generation for Sampling-Based Planning Rahul Kumar Aditya Mandalika Sanjiban Choudhury S. Srinivasa 18 59 0 22 Jul 2019
Learning to Plan in High Dimensions via Neural Exploration-Exploitation Trees Binghong Chen Bo Dai Qinjie Lin Guo Ye Han Liu Le Song 24 51 0 28 Feb 2019