Aalto University Intelligent Robotics

bayesianfloorfield

A novel approach to learn people flow able to combine knowledge about the environment geometry with observations from human trajectories

DDGC

llm-trajectory-prediction

Exploring Large Language Models for Trajectory Prediction: A Technical Perspective

Multi-FinGAN

Code for the paper Multi-FinGAN: Generative Coarse-To-Fine Sampling of Multi-Finger Grasps

point_cloud_segmentation

Standard point-cloud segmentation methods to be used with the Robot Operating System (ROS)

shape_completion_network

sivl

Season-invariant GNSS-denied visual localization for UAVs

uncertain_turtlebot_navigation

A turtlebot navigation simulation in Gazebo using uncertainty maps.

ViTa-SLAM

ROS package for ViTa-SLAM a bio-inspired visuo-tactile SLAM framework.

wimblepong

This repository contains the two player pong environment used for the course "ELEC-8125 - Reinforcement Learning" at Aalto University.

aalto-intelligent-robotics/sivl

Season-invariant GNSS-denied visual localization for UAVs

aalto-intelligent-robotics/point_cloud_segmentation

Standard point-cloud segmentation methods to be used with the Robot Operating System (ROS)

aalto-intelligent-robotics/llm-trajectory-prediction

Exploring Large Language Models for Trajectory Prediction: A Technical Perspective

aalto-intelligent-robotics/Multi-FinGAN

Code for the paper Multi-FinGAN: Generative Coarse-To-Fine Sampling of Multi-Finger Grasps

aalto-intelligent-robotics/shape_completion_network

aalto-intelligent-robotics/wimblepong

This repository contains the two player pong environment used for the course "ELEC-8125 - Reinforcement Learning" at Aalto University.

aalto-intelligent-robotics/DDGC

aalto-intelligent-robotics/uncertain_turtlebot_navigation

A turtlebot navigation simulation in Gazebo using uncertainty maps.

aalto-intelligent-robotics/bayesianfloorfield

A novel approach to learn people flow able to combine knowledge about the environment geometry with observations from human trajectories

aalto-intelligent-robotics/mc-dropout-notebooks

Source code for the ICML2021 workshop paper "Notes on the behavior of MC Dropout"

aalto-intelligent-robotics/ViTa-SLAM

ROS package for ViTa-SLAM a bio-inspired visuo-tactile SLAM framework.

aalto-intelligent-robotics/lamide

Object-Oriented Grid Mapping in Dynamic Environments

aalto-intelligent-robotics/pytorch_barrett_hand_forward_kinematics_layer

A fully differentiable PyTorch implementation of the forward kinematics equation of the Barrett Hand

aalto-intelligent-robotics/graspit_commander

Python ROS Client for GraspIt!

aalto-intelligent-robotics/aisa-conflict-simulation

AISA Conflict Simulation

aalto-intelligent-robotics/dropo

DROPO: Sim-to-Real Transfer with Offline Domain Randomization

aalto-intelligent-robotics/dynamic-cloth-folding

Code for our paper: Learning Visual Feedback Control for Dynamic Cloth Folding (IROS 2022)

aalto-intelligent-robotics/evolving-ggp

Evolving-Graph Gaussian Processes.

aalto-intelligent-robotics/gnn-manip

Code of the article "Manipulation of granular materials by learning particle interactions"

aalto-intelligent-robotics/graspit

The GraspIt! simulator

aalto-intelligent-robotics/graspit_interface

A GraspIt! plugin exposing a ROS interface via graspit-ros

aalto-intelligent-robotics/grid_sample_plugin

uniform sample grasp locations

aalto-intelligent-robotics/robust_grasp_planning_over_uncertain_shape_completions