dynamics-simulation-16-715 / lecture-notebooks-2021Links
☆13Updated 3 years ago
Alternatives and similar repositories for lecture-notebooks-2021
Users that are interested in lecture-notebooks-2021 are comparing it to the libraries listed below
Sorting:
- Learning Drake from the perspective of a robotics beginner.☆43Updated last year
- Algorithm and model experiments for robot motion planning. Implemented in Julia.☆93Updated 3 years ago
- ☆31Updated 2 years ago
- Example demonstrating pytorch c++ integration with drake☆18Updated last year
- Julia implementation of Pullback Bundle Dynamical Systems (PBDS) framework for geometrically-consistent, multi-task reactive control on m…☆19Updated 4 years ago
- ☆35Updated 5 years ago
- Julia implementation of the Kinodynamic Fabrics whole-body control framework☆53Updated 2 years ago
- Code supporting the WAFR paper "A Performance Analysis of Differential Dynamic Programming on a GPU," and the ICRA workshop follow on wor…☆49Updated 2 years ago
- Some of the basics for getting started with Julia☆21Updated 4 years ago
- A Contact-Implicit Trajectory Optimization Package☆49Updated 2 years ago
- Model predictive control in Python based on quadratic programming☆49Updated 4 months ago
- CppADCodeGen with an easy Eigen interface and Python bindings.☆15Updated 3 years ago
- OpTaS: An optimization-based task specification library for trajectory optimization and model predictive control.☆129Updated last week
- This a c++ implementation of a Time Invariant Linear Model Predictive Controller (LMPC) done in C++14 with python bindings☆40Updated 2 months ago
- ☆70Updated 3 weeks ago
- ☆16Updated last year
- ☆35Updated 3 years ago
- Raisimpy: Python wrappers for RaiSim☆39Updated 5 years ago
- ☆18Updated 2 years ago
- Simple Linear Algebra Protocols☆23Updated 2 years ago
- Planning and Control Algorithms for Robotics☆66Updated 2 years ago
- Summary for MPC 2017 at ETH Zürich☆10Updated 6 years ago
- Differential Dynamic Programming and Iterative LQR in Drake☆73Updated last year
- Code supporting the RAL paper "Accelerating Robot Dynamics Gradients on a CPU, GPU, and FPGA"☆23Updated 4 years ago
- ☆29Updated 2 years ago
- Python Implementation of Planning and Control☆58Updated last year
- A GPU accelerated library for computing rigid body dynamics with analytical gradients☆121Updated 2 years ago
- C++ library for optimization-based control of redundant robots☆64Updated last month
- Differentiable collision detection for capsules in JAX.☆49Updated last year
- ☆25Updated last year