Pinned Repositories
asu-robotics
ASU MAE 547: Modeling and Control of Robots
ioc
Inverse optimal control codebase
IOC-from-Incomplete-Trajectory-Observations
Inverse optimal control from incomplete trajectory observations, proposing the concept of the recovery matrix which provides further insights into objective learning process.
Learning-from-Directional-Corrections
A new method for a robot to learn a control objective from human user's directional corrections.
Learning-from-Sparse-Demonstrations
A framework and method to jointly learn a (neural) control objective function and a time-warping function only from sparse demonstrations or waypoints.
Learning-LCS
A new learning formulation/method to learn/identify a piecewise linear system, also named as linear complementarity system.
Pontryagin-Differentiable-Programming
A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, control policy, or/and optimal trajectory in a control system.
Safe-PDP
Safe Pontryagin Differentiable Programming (Safe PDP) is a new theoretical and algorithmic safe differentiable framework to solve a broad class of safety-critical learning and control tasks.
Task-Driven-Hybrid-Reduction
We developed a task-driven hybrid model reduction method for solving dexterous manipulation with 5 minutes of online learning.
wanxinjin.github.io
wanxinjin's Repositories
wanxinjin/Pontryagin-Differentiable-Programming
A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, control policy, or/and optimal trajectory in a control system.
wanxinjin/Safe-PDP
Safe Pontryagin Differentiable Programming (Safe PDP) is a new theoretical and algorithmic safe differentiable framework to solve a broad class of safety-critical learning and control tasks.
wanxinjin/Learning-from-Sparse-Demonstrations
A framework and method to jointly learn a (neural) control objective function and a time-warping function only from sparse demonstrations or waypoints.
wanxinjin/Task-Driven-Hybrid-Reduction
We developed a task-driven hybrid model reduction method for solving dexterous manipulation with 5 minutes of online learning.
wanxinjin/Learning-from-Directional-Corrections
A new method for a robot to learn a control objective from human user's directional corrections.
wanxinjin/IOC-from-Incomplete-Trajectory-Observations
Inverse optimal control from incomplete trajectory observations, proposing the concept of the recovery matrix which provides further insights into objective learning process.
wanxinjin/Learning-LCS
A new learning formulation/method to learn/identify a piecewise linear system, also named as linear complementarity system.
wanxinjin/wanxinjin.github.io
wanxinjin/asu-robotics
ASU MAE 547: Modeling and Control of Robots
wanxinjin/ioc
Inverse optimal control codebase