inria-larsen Goto Github PK
Name: Larsen team, INRIA Nancy
Type: Organization
Location: France
Name: Larsen team, INRIA Nancy
Type: Organization
Location: France
Work in progress about activity recognition/prediction using wearable sensors information
Activity recognition demo for the H2020 AnDy project (simple version)
Whole-body Compliant Dynamical Contacts in Cognitive Humanoids
Software repository for FP7 project CoDyCo - Whole-body Compliant Dynamical Contacts in Cognitive Humanoids - http://www.codyco.eu
A planning, control, and analysis toolbox for nonlinear dynamical systems. More info at
Work in progress about EMG processing
Some example code to use the geomagic_touch
xml files for running applications with yarpmanager
Collaborative assembly with an autonomous iCub - work in progress
custom URDF files for our experiments with iCubNancy01
[under dev] One C++ program allow to record trajectories (forces + end effector's cartesian positions). Then, a matlab program computes the distribution other three kind of trajectories and allows to recognize and to continue a movement when it is initate by the icub's partner.
This is our iCub manual, for our iCubNancy01. We want to share it in case other iCub users find it useful!
Files for the demo of iCub sitting on a chair
repository for student projects where icub plays games
files for plotting data collected from icub
useful scripts for using iCub
A simplified lower arm for iCub, without hands. To be used for applications where contacts may break the hand.
[WORK IN PROGRESS]
collection of players for playing trajectories in iCub
tools for an improved visualization of whole-body dynamics
learning task trajectories using Probabilistic Movement Primitives
[work in progress] first basic demo application for Pepper used as a conference co-chair
Contains robots configuration files
Go to issues -> tickets for handling robot status
Scripts for shutting down the router
This toolbox allow (1) to learn the distribution of any kind of trajectories (i.e. data input that evolved in time) (2) to infer the end of an initiate trajectory, thanks to the learned distribution.
Implementation of the wholeBodyInterface for YARP robots.
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