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Learning to Fly -- a Gym Environment with PyBullet Physics for
  Reinforcement Learning of Multi-agent Quadcopter Control

Learning to Fly -- a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control

3 March 2021
Jacopo Panerati
Hehui Zheng
Siqi Zhou
James Xu
Amanda Prorok
Angela P. Schoellig University of Toronto Institute for A Studies
    AI4CE
ArXivPDFHTML

Papers citing "Learning to Fly -- a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control"

24 / 24 papers shown
Title
Reinforcement Learning-based Fault-Tolerant Control for Quadrotor with Online Transformer Adaptation
Reinforcement Learning-based Fault-Tolerant Control for Quadrotor with Online Transformer Adaptation
Dohyun Kim
Jayden Dongwoo Lee
Hyochoong Bang
Jungho Bae
16
0
0
13 May 2025
RoboVerse: Towards a Unified Platform, Dataset and Benchmark for Scalable and Generalizable Robot Learning
RoboVerse: Towards a Unified Platform, Dataset and Benchmark for Scalable and Generalizable Robot Learning
Haoran Geng
Feishi Wang
Songlin Wei
Y. Li
Bangjun Wang
...
Hao Dong
Siyuan Huang
Yue Wang
Jitendra Malik
Pieter Abbeel
75
3
0
26 Apr 2025
Bridging Deep Reinforcement Learning and Motion Planning for Model-Free Navigation in Cluttered Environments
Bridging Deep Reinforcement Learning and Motion Planning for Model-Free Navigation in Cluttered Environments
Licheng Luo
Mingyu Cai
36
0
0
09 Apr 2025
Robust Deterministic Policy Gradient for Disturbance Attenuation and Its Application to Quadrotor Control
Robust Deterministic Policy Gradient for Disturbance Attenuation and Its Application to Quadrotor Control
T. Lee
Donghwan Lee
35
0
0
28 Feb 2025
SELP: Generating Safe and Efficient Task Plans for Robot Agents with Large Language Models
SELP: Generating Safe and Efficient Task Plans for Robot Agents with Large Language Models
Yi Wu
Z. Xiong
Yiran Hu
Shreyash S. Iyengar
Nan Jiang
Aniket Bera
Lin Tan
Suresh Jagannathan
LM&Ro
LLMAG
76
4
0
17 Feb 2025
AgilePilot: DRL-Based Drone Agent for Real-Time Motion Planning in Dynamic Environments by Leveraging Object Detection
AgilePilot: DRL-Based Drone Agent for Real-Time Motion Planning in Dynamic Environments by Leveraging Object Detection
Roohan Ahmed Khan
Valerii Serpiva
Demetros Aschalew
A. Fedoseev
Dzmitry Tsetserukou
53
0
0
10 Feb 2025
Symmetries-enhanced Multi-Agent Reinforcement Learning
Symmetries-enhanced Multi-Agent Reinforcement Learning
N. Bousias
Stefanos Pertigkiozoglou
Kostas Daniilidis
George Pappas
AI4CE
71
0
0
02 Jan 2025
SOUS VIDE: Cooking Visual Drone Navigation Policies in a Gaussian Splatting Vacuum
SOUS VIDE: Cooking Visual Drone Navigation Policies in a Gaussian Splatting Vacuum
JunEn Low
Maximilian Adang
Javier Yu
Keiko Nagami
Mac Schwager
3DGS
VGen
91
4
0
20 Dec 2024
Dashing for the Golden Snitch: Multi-Drone Time-Optimal Motion Planning with Multi-Agent Reinforcement Learning
Dashing for the Golden Snitch: Multi-Drone Time-Optimal Motion Planning with Multi-Agent Reinforcement Learning
X. Wang
Jin Zhou
Yuanli Feng
Jiahao Mei
Jiming Chen
Shuo Li
29
1
0
25 Sep 2024
ProxFly: Robust Control for Close Proximity Quadcopter Flight via Residual Reinforcement Learning
ProxFly: Robust Control for Close Proximity Quadcopter Flight via Residual Reinforcement Learning
Ruiqi Zhang
Dingqi Zhang
Mark W. Mueller
64
1
0
20 Sep 2024
Trajectory Tracking for UAVs: An Interpolating Control Approach
Trajectory Tracking for UAVs: An Interpolating Control Approach
Zdenek Boucek
Miroslav Flídr
Ondrej Straka
21
0
0
01 Jul 2024
Gaussian Splatting to Real World Flight Navigation Transfer with Liquid
  Networks
Gaussian Splatting to Real World Flight Navigation Transfer with Liquid Networks
Alex Quach
Makram Chahine
Alexander Amini
Ramin Hasani
Daniela Rus
3DGS
29
6
0
21 Jun 2024
NaviSlim: Adaptive Context-Aware Navigation and Sensing via Dynamic
  Slimmable Networks
NaviSlim: Adaptive Context-Aware Navigation and Sensing via Dynamic Slimmable Networks
Timothy K Johnsen
Marco Levorato
31
1
0
16 May 2024
Skill Transfer and Discovery for Sim-to-Real Learning: A
  Representation-Based Viewpoint
Skill Transfer and Discovery for Sim-to-Real Learning: A Representation-Based Viewpoint
Haitong Ma
Zhaolin Ren
Bo Dai
Na Li
24
1
0
07 Apr 2024
CCIL: Continuity-based Data Augmentation for Corrective Imitation
  Learning
CCIL: Continuity-based Data Augmentation for Corrective Imitation Learning
Liyiming Ke
Yunchu Zhang
Abhay Deshpande
S. Srinivasa
Abhishek Gupta
OffRL
19
12
0
19 Oct 2023
OmniDrones: An Efficient and Flexible Platform for Reinforcement
  Learning in Drone Control
OmniDrones: An Efficient and Flexible Platform for Reinforcement Learning in Drone Control
Botian Xu
Feng Gao
Chao Yu
Ruize Zhang
Yi Wu
Yu Wang
16
28
0
22 Sep 2023
A Remote Sim2real Aerial Competition: Fostering Reproducibility and
  Solutions' Diversity in Robotics Challenges
A Remote Sim2real Aerial Competition: Fostering Reproducibility and Solutions' Diversity in Robotics Challenges
Spencer Teetaert
Wenda Zhao
Niu Xinyuan
Hashir Zahir
Huiyu Leong
...
Lukas Brunke
Melissa Greeff
Wolfgang Hoenig
Jacopo Panerati
T. China
21
1
0
31 Aug 2023
QuadSwarm: A Modular Multi-Quadrotor Simulator for Deep Reinforcement
  Learning with Direct Thrust Control
QuadSwarm: A Modular Multi-Quadrotor Simulator for Deep Reinforcement Learning with Direct Thrust Control
Zhehui Huang
S. Batra
Tao Chen
Rahul Krupani
T. Kumar
Artem Molchanov
Aleksei Petrenko
James A. Preiss
Zhaojing Yang
Gaurav Sukhatme
16
6
0
15 Jun 2023
Reinforcement Learning for Safe Robot Control using Control Lyapunov
  Barrier Functions
Reinforcement Learning for Safe Robot Control using Control Lyapunov Barrier Functions
Desong Du
Shao-Fu Han
Naiming Qi
Haitham Bou-Ammar
Jun Wang
Wei Pan
11
15
0
16 May 2023
Safety-Critical Ergodic Exploration in Cluttered Environments via
  Control Barrier Functions
Safety-Critical Ergodic Exploration in Cluttered Environments via Control Barrier Functions
Cameron J. Lerch
Ethan Dong
Ian Abraham
22
13
0
08 Nov 2022
Characterising the Robustness of Reinforcement Learning for Continuous
  Control using Disturbance Injection
Characterising the Robustness of Reinforcement Learning for Continuous Control using Disturbance Injection
Catherine R. Glossop
Jacopo Panerati
A. Krishnan
Zhaocong Yuan
Angela P. Schoellig
8
6
0
27 Oct 2022
VMAS: A Vectorized Multi-Agent Simulator for Collective Robot Learning
VMAS: A Vectorized Multi-Agent Simulator for Collective Robot Learning
Matteo Bettini
Ryan Kortvelesy
J. Blumenkamp
Amanda Prorok
16
36
0
07 Jul 2022
A Verification Framework for Certifying Learning-Based Safety-Critical
  Aviation Systems
A Verification Framework for Certifying Learning-Based Safety-Critical Aviation Systems
Ali Baheri
Hao Ren
B. Johnson
Pouria Razzaghi
Peng Wei
11
5
0
09 May 2022
A Review of Cooperative Multi-Agent Deep Reinforcement Learning
A Review of Cooperative Multi-Agent Deep Reinforcement Learning
Afshin Oroojlooyjadid
Davood Hajinezhad
28
408
0
11 Aug 2019
1