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RAMP-Net: A Robust Adaptive MPC for Quadrotors via Physics-informed
  Neural Network

RAMP-Net: A Robust Adaptive MPC for Quadrotors via Physics-informed Neural Network

19 September 2022
Sourav Sanyal
Kaushik Roy
    PINN
ArXivPDFHTML

Papers citing "RAMP-Net: A Robust Adaptive MPC for Quadrotors via Physics-informed Neural Network"

12 / 12 papers shown
Title
Modelling of Underwater Vehicles using Physics-Informed Neural Networks with Control
Modelling of Underwater Vehicles using Physics-Informed Neural Networks with Control
Abdelhakim Amer
David Felsager
Yury Brodskiy
Andriy Sarabakha
PINN
AI4CE
63
0
0
28 Apr 2025
MetaSym: A Symplectic Meta-learning Framework for Physical Intelligence
MetaSym: A Symplectic Meta-learning Framework for Physical Intelligence
Pranav Vaidhyanathan
Aristotelis Papatheodorou
Mark T. Mitchison
Natalia Ares
Ioannis Havoutis
PINN
AI4CE
46
1
0
23 Feb 2025
Energy-Efficient Autonomous Aerial Navigation with Dynamic Vision Sensors: A Physics-Guided Neuromorphic Approach
Energy-Efficient Autonomous Aerial Navigation with Dynamic Vision Sensors: A Physics-Guided Neuromorphic Approach
Sourav Sanyal
Amogh Joshi
M. Nagaraj
Rohan Kumar Manna
Kaushik Roy
80
1
0
09 Feb 2025
Neuro-LIFT: A Neuromorphic, LLM-based Interactive Framework for Autonomous Drone FlighT at the Edge
Neuro-LIFT: A Neuromorphic, LLM-based Interactive Framework for Autonomous Drone FlighT at the Edge
Amogh Joshi
Sourav Sanyal
Kaushik Roy
70
2
0
31 Jan 2025
Metamizer: a versatile neural optimizer for fast and accurate physics simulations
Metamizer: a versatile neural optimizer for fast and accurate physics simulations
Nils Wandel
Stefan Schulz
Reinhard Klein
PINN
AI4CE
51
0
0
10 Oct 2024
Domain-decoupled Physics-informed Neural Networks with Closed-form
  Gradients for Fast Model Learning of Dynamical Systems
Domain-decoupled Physics-informed Neural Networks with Closed-form Gradients for Fast Model Learning of Dynamical Systems
Henrik Krauss
Tim-Lukas Habich
Max Bartholdt
Thomas Seel
Moritz Schappler
PINN
AI4CE
40
2
0
27 Aug 2024
Real-Time Neuromorphic Navigation: Integrating Event-Based Vision and
  Physics-Driven Planning on a Parrot Bebop2 Quadrotor
Real-Time Neuromorphic Navigation: Integrating Event-Based Vision and Physics-Driven Planning on a Parrot Bebop2 Quadrotor
Amogh Joshi
Sourav Sanyal
Kaushik Roy
44
5
0
01 Jul 2024
Physics-Informed Multi-Agent Reinforcement Learning for Distributed Multi-Robot Problems
Physics-Informed Multi-Agent Reinforcement Learning for Distributed Multi-Robot Problems
Eduardo Sebastián
T. Duong
Nikolay A. Atanasov
Eduardo Montijano
C. Sagüés
28
3
0
30 Dec 2023
PIAug -- Physics Informed Augmentation for Learning Vehicle Dynamics for
  Off-Road Navigation
PIAug -- Physics Informed Augmentation for Learning Vehicle Dynamics for Off-Road Navigation
Parv Maheshwari
Wenshan Wang
S. Triest
Matthew Sivaprakasam
Shubhra Aich
John G. Rogers
Jason M. Gregory
Sebastian A. Scherer
29
12
0
01 Nov 2023
EV-Planner: Energy-Efficient Robot Navigation via Event-Based
  Physics-Guided Neuromorphic Planner
EV-Planner: Energy-Efficient Robot Navigation via Event-Based Physics-Guided Neuromorphic Planner
Sourav Sanyal
Rohan Kumar Manna
Kaushik Roy
34
10
0
21 Jul 2023
Data-efficient, Explainable and Safe Box Manipulation: Illustrating the
  Advantages of Physical Priors in Model-Predictive Control
Data-efficient, Explainable and Safe Box Manipulation: Illustrating the Advantages of Physical Priors in Model-Predictive Control
Achkan Salehi
Stéphane Doncieux
OffRL
19
2
0
02 Mar 2023
Data-Driven MPC for Quadrotors
Data-Driven MPC for Quadrotors
G. Torrente
Elia Kaufmann
Philip Föhn
Davide Scaramuzza
83
208
0
10 Feb 2021
1