Wang Bingheng

Wang Bingheng

@BinghengNUS

Research Fellow (PhD) in electrical and computer engineering with focus on learning-based control

National University of Singapore
54
Followers
51
Following
12
Public Repos
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Private Repos

Language Breakdown

Lines of code distribution across 10 owned repositories

5.4M Total LOC
Python
5,298,475 lines
98.9%
N/A
MATLAB
39,225 lines
0.7%
N/A
C++
16,261 lines
0.3%
N/A
Shell
2,533 lines
0.0%
N/A
CMake
950 lines
0.0%
N/A
I

I-Shaped Developer

I-shaped

Specialist — deep expertise in Python

Python
MATLAB
C++
Shell
CMake

Collaboration Network

Global Impact visualization

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Wang Bingheng
0 active collaborators

Repos

15

PRs

0

Growth

+18%

Top Collaborators

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Coding Streak

Contribution activity over the past year

3 days
65
Contributions
63
Commits
0
Pull Requests
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Top Repositories

LearningAgileFlight_SE3

Learning Agile Flights on SE(3): a novel deep SE(3) motion planning and control method for quadrotors. It learns an MPC's adaptive SE(3) decision variables parameterized by a portable DNN, encouraging the quadrotor to fly through the gate with maximum safety margins under diverse settings.

77 8
Python
TR-NeuroMHE
12 2
Python
DiffCoord

Learning to Coordinate (L2C) is a general framework that meta-learns key hyperparameters for ADMM-DDP-based multiagent distributed trajectory optimization and adapts to diverse tasks and team sizes.

8 2
Python
Auto-Multilift_simulation

Simulation results of auto-multilift

4 7
Python
SUSTech_NeZha

Scource code of the paper entitled 'Underactuated Motion Planning and Control for Jumping With Wheeled-Bipedal Robots'

3 0
My-PhD-Thesis

Collection of all the open-source projects proposed in my PhD thesis

1 0
Auto-Multilift

Auto-Multilift is a novel learning framework for cooperative load transportation with quadrotors. It can automatically tune various MPC hyperparameters, which are modeled by DNNs and difficult to tune manually, via reinforcement learning in a distributed and closed-loop manner.

1 0
Python
NeuroMHE

Neural Moving Horizon Estimation (NeuroMHE) is an auto-tuning and adaptive optimal estimator. It fuses a nueral network with an MHE to render fast online adaptation to state-dependent noise. The neural network can be efficiently trained from the robot's trajectory tracking errors without the need for the ground truth data.

1 0
Python
NeuroPID_EE4307_2022

Dear Class of EE4307 (Control System Design and Simulation, NUS) Please find the uploaded sample python code for the mini-project in your lab manual. You can use this code but are encouraged to modify it yourselves according to the control specification discussed in the manual. Best, Bingheng (Graduate Assistant of EE4307)

1 1
Data_sample_SIMULINK_Lab_Section2_EE4307

This file provides those who take EE4307 with the data and sample code for section 2 of the lab.

0 0

Open Source Impact

Contributions to external projects

0 merged PRs
Contributed to 2 repositories