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16899_courseresources

These are resources for students taking Adaptive Control and Reinforcement Learning

absolute-policy-optimization

The source code of Absolute Policy Optimization

agen

Adaptable generative prediction using recursive least square algorithm

arssa

Code for MECC 2021

auto_vehicle_simulator

autoenv

An integrated environment for autonomous driving simulation

bis

Benchmark on interactive safety

bond

This is the official code for L4DC 2024 paper "Real-Time Safe Control of Neural Network Dynamic Models with Sound Approximation"

cchp_icra23

cersyve.jl

cma-es

collaborative_aerial_transportation

This repository is dedicated to build a simulation test bed for developping aerial manipulation algorithms.

composable_agent_toolbox

Benchmark for planner, controller, model, estimator etc.

feedforward_adaptation

[CoRL 2023] Online Model Adaptation with Feedforward Compensation

guard

guardx

In the enhanced GUARD environment, RL training benefits from the power of GPU parallelization, enabling the training of RL agents in a matter of minutes.

human-robot-handover

human_assembly_data

Human motion dataset for assembly tasks

intent_traj_prediction

Adaptable Human Intention and Trajectory Prediction for Human-Robot Collaboration

issa_corl21

joint-tolerance-estimation

kinect_smoothing

"Kinect Smoothing" helps you to smooth and filter the Kinect depth image as well as trajectory data

kinova_control

mekf_mame

Modified Extended Kalman Filter with generalized exponential Moving Average and dynamic Multi-Epoch update strategy (MEKF_MAME)

microscopic_epidemic_model

modelverification.jl

neuralverification.jl

Methods to soundly verify deep neural networks

neuralverification_vnncomp_scripts

nndm-safe-control

openpose-kinect-data-collection

This package allows the user to use both OpenPose and Kinect to collect depth images and specified joint keypoint positions.