chaveza9
Robotics engineer with passion for machine learning, motion planning, and autonomous navigation.
Boston UniversityBoston, MA
chaveza9's Stars
kohonda/proj-svg_mppi
[ICRA2024] Stein Variational Guided Model Predictive Path Integral Control: Proposal and Experiments with Fast Maneuvering Vehicles
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.
portal-cornell/game-theoretic-forecasting-planning
Code for IROS 2023 paper "A Game-Theoretic Framework for Joint Forecasting and Planning"
bpucla/lbebm
zhu-edward/DGSQP
A Python implmentation of the Dynamic Game SQP algorithm
rfeinman/pytorch-minimize
Newton and Quasi-Newton optimization with PyTorch
cor3bit/pyautonlp
JAX Implementation of Differentiable NLP Solvers
labicon/Potential-ADMM_code
Official code implementation for "Efficient and Distributed Multi-Agent Interactive Trajectory Optimization via ADMM and Dynamic Potential Games"
UM-ARM-Lab/pytorch_mppi
Model Predictive Path Integral (MPPI) with approximate dynamics implemented in pytorch
kohonda/mppi_playground
Model Predictive Path Integral Control (MPPI) with PyTorch
matssteinweg/Multi-Purpose-MPC
Multi-Purpose MPC for Reference Path Tracking, Time-Optimal Driving and Obstacle Avoidance
MCZhi/GameFormer-Planner
[ICCV & CVPR Workshop] Learning-enabled Interactive Prediction and Planning Framework for Autonomous Vehicles
Tim-Salzmann/l4casadi
Use PyTorch Models with CasADi for data-driven optimization or learning-based optimal control. Supports Acados.
mingu6/Implicit-Diff-Optimal-Control
Reference implementation for the paper "Revisiting Implicit Differentiation for Learning Problems in Optimal Control" (NeurIPS 2023).
zihangm/Physarum-Differentiable-LP-Layer
Physarum Powered Differentiable Linear Programming Layers
zhejz/HPTR
Real-Time Motion Prediction via Heterogeneous Polyline Transformer with Relative Pose Encoding. NeurIPS 2023.
NVlabs/rule-hierarchies
MCZhi/DIPP
[TNNLS] Differentiable Integrated Prediction and Planning Framework for Urban Autonomous Driving
tanelp/tiny-diffusion
A minimal PyTorch implementation of probabilistic diffusion models for 2D datasets.
sshaoshuai/MTR
MTR: Motion Transformer with Global Intention Localization and Local Movement Refinement, NeurIPS 2022.
dome272/Diffusion-Models-pytorch
Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)
ripl/diffusion-for-shared-autonomy
Codebase for the paper "To the Noise and Back: Diffusion for Shared Autonomy"
mbreuss/diffusion-literature-for-robotics
Summary of key papers and blogs about diffusion models to learn about the topic. Detailed list of all published diffusion robotics papers.
yotakayama/STLCCP
An Efficient Convex Optimization-based Framework for Signal Temporal Logic (STL) Specifications
NVlabs/traffic-behavior-simulation
NVlabs/trajdata
A unified interface to many trajectory forecasting datasets.
JulesBelveze/time-series-autoencoder
PyTorch Dual-Attention LSTM-Autoencoder For Multivariate Time Series
anassinator/ilqr
Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models
lkulowski/LSTM_encoder_decoder
Build a LSTM encoder-decoder using PyTorch to make sequence-to-sequence prediction for time series data
pparmesh/Constrained_ILQR