Control of rough terrain vehicles using deep reinforcement learning

Control of rough terrain vehicles using deep reinforcement learning

5 July 2021

Papers citing "Control of rough terrain vehicles using deep reinforcement learning"

10 / 10 papers shown

Title
Impact-Aware Robotic Manipulation: Quantifying the Sim-To-Real Gap for Velocity Jumps Jari J. van Steen Daan Stokbroekx N. van de Wouw A. Saccon 32 0 0 10 Nov 2024
Current applications and potential future directions of reinforcement learning-based Digital Twins in agriculture Georg Goldenits K. Mallinger Sebastian Raubitzek Thomas Neubauer AI4CE 33 5 0 13 Jun 2024
Bi-level Trajectory Optimization on Uneven Terrains with Differentiable Wheel-Terrain Interaction Model Amith Manoharan Aditya Sharma Himani Belsare Kaustab Pal K. M. Krishna Arun Kumar Singh 38 3 0 04 Apr 2024
Examining the simulation-to-reality gap of a wheel loader digging in deformable terrain Kojiro Aoshima Martin Servin AI4CE 21 4 0 09 Oct 2023
Teacher-Student Reinforcement Learning for Mapless Navigation using a Planetary Space Rover Anton Bjorndahl Mortensen Emil Tribler Pedersen Laia Vives Benedicto Lionel Burg Mads Rossen Madsen Simon Boegh 22 0 0 22 Sep 2023
CoverNav: Cover Following Navigation Planning in Unstructured Outdoor Environment with Deep Reinforcement Learning Jumman Hossain A. Faridee Nirmalya Roy A. Basak Derrik E. Asher 34 8 0 12 Aug 2023
Sim-to-real transfer of active suspension control using deep reinforcement learning Viktor Wiberg Erik Wallin Arvid Fälldin Tobias Semberg Morgan Rossander E. Wadbro Martin Servin 28 7 0 19 Jun 2023
Risk-Aware Off-Road Navigation via a Learned Speed Distribution Map Xiaoyi Cai Michael Everett Jonathan R. Fink Jonathan P. How 18 49 0 25 Mar 2022
Analytic Solutions for Wheeled Mobile Manipulator Supporting Forces Goran R. Petrović J. Mattila 6 4 0 21 Feb 2022
ALLSTEPS: Curriculum-driven Learning of Stepping Stone Skills Zhaoming Xie Hung Yu Ling N. Kim M. van de Panne 112 105 0 09 May 2020