sjYoondeltar
Follow
autonomous
Student Project of the University of Mannheim Course on Industrial Applications of AI.
Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation
A curated list of awesome knowledge-driven autonomous driving (continually updated)
Source codes for our ICRA 2022 paper: "Enhanced Spatial Attention Graph for Motion Planning in Crowded, Partially Observable Environments"
Model Predictive Control using acados and ROS.
Hierarchical Optimization-Based Collision Avoidance - a path planner for autonomous parking
Model Predictive Control for Quadrotors with extension to Perception-Aware MPC
A collection of examples for Stochastic MPC applied to Autonomous Vehicle Scenarios
ArduPilot Gazebo SITL 3D mapping and planning
[ICRA 2023] Intention Aware Robot Crowd Navigation with Attention-Based Interaction Graph
applying multi-agent reinforcement learning for highway-merging autonomous vehicles
Official implementation of "Learned Fourier Bases for Deep Set Feature Extractors in Automotive Reinforcement Learning"
Official implementation of "Deep Reinforcement Learning for Autonomous Driving using High-Level Heterogeneous Graph Representations"
Official code for article "LLMLight: Large Language Models as Traffic Signal Control Agents".
[ICRA 2023] Intention Aware Robot Crowd Navigation with Attention-Based Interaction Graph -- Sim2real code on Turtlebot2i
[CoRL'23] Adversarial Training for Safe End-to-End Driving
[ICRA'2024] Rethinking Imitation-based Planner for Autonomous Driving
Exploration package that enables autonomous mapping of an area. Works as an overlay on the ROS Navstack. Configured for running on Jackal UGV.
a simple and scalable agent for training adaptive policies with sequence-based RL
Official code and checkpoint release for mobile robot foundation models: GNM, ViNT, and NoMaD.
Reinforcment Learning accelerated Motion Planning Algorithm based on Frenetix and Frenetix_Motion_Planner
Official implementation for the paper "CoVO-MPC: Theoretical Analysis of Sampling-based MPC and Optimal Covariance Design" accepted by L4DC 2024. CoVO-MPC is an optimal sampling-based MPC algorithm.
This paper introduces a forest dataset called FinnWoodlands, which consists of RGB stereo images, point clouds, and sparse depth maps, as well as ground truth manual annotations for semantic, inst…
[CVPR 2024] On the Road to Portability: Compressing End-to-End Motion Planner for Autonomous Driving
Model Predictive Control with discrete-time Control Barrier Functions (MPC-CBF) for a wheeled mobile robot.