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Verb concepts from affordances

Publications associées (29)

A Dynamical System Approach for Adaptive Grasping, Navigation and Co-Manipulation with Humanoid Robots

Aude Billard, Salman Faraji, Nadia Barbara Figueroa Fernandez, Mikhail Koptev

In this paper, we present an integrated approach that provides compliant control of an iCub humanoid robot and adaptive reaching, grasping, navigating and co-manipulating capabilities. We use state-dependent dynamical systems (DS) to (i) coordinate and dri ...

IEEE2020

Object Grasping of Humanoid Robot Based on YOLO

Daniel Thalmann

This paper presents a system that aims to achieve autonomous grasping for micro-controller based humanoid robots such as the Inmoov robot [1]. The system consists of a visual sensor, a central controller and a manipulator. We modify the open sourced object ...

SPRINGER INTERNATIONAL PUBLISHING AG2019

Design of a Flexible Articulated Robotic Hand for a Humanoid Robot

Daniel Thalmann, Jing Liu

It is often desirable for humanoid robots to have dexterous hands and perform human-like grasps. This requires a deliberate design of hands, in addition to a good actuation system and an efficient 3D vision system. In this paper, we present a simple method ...

IEEE2019

Learning Task Priorities from Demonstrations

Sylvain Calinon

As humanoid robots become increasingly popular, learning and control algorithms must take into account the new constraints and challenges inherent to these platforms, if we aim to fully exploit their potential. One of the most prominent of such aspects is ...

2019

Human-Human, Human-Robot and Robot-Robot Interaction While Walking: Data Analysis, Modelling and Control

Jessica Lanini

In everyday life humans perform many tasks with other partners which involve coordination, involuntary communication and mutual control adaptation, as the case of carrying objects together with another person. Humanoid robots may help with such activities ...

EPFL2019

Scalable closed-form trajectories for periodic and non-periodic human-like walking

Auke Ijspeert, Salman Faraji

We present a new framework to generate humanlike lower-limb trajectories in periodic and non-periodic walking. In our method, walking dynamics is encoded in 3LP, a linear simplified model composed of three pendulums to simulate falling, swing, and torso ba ...

IEEE2019

Embodied Flight with a Drone

Dario Floreano, Alexandre Thierry Cherpillod, Stefano Mintchev

Most human-robot interfaces, such as joysticks and keyboards, require training and constant cognitive effort and provide a limited degree of awareness of the robots’ state and its environment. Embodied interactions, that is the bidirectional link between t ...

2019

Crowd-Robot Interaction: Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning

Alexandre Massoud Alahi, Yuejiang Liu, Sven Kreiss, Changan Chen

Mobility in an effective and socially-compliant manner is an essential yet challenging task for robots operating in crowded spaces. Recent works have shown the power of deep reinforcement learning techniques to learn socially cooperative policies. However, ...

IEEE2019

On Force Synergies in Human Grasping Behavior

Aude Billard, Konstantinos Chatzilygeroudis

The human hand is a versatile and complex system with dexterous manipulation capabilities. For the transfer of human grasping capabilities to humanoid robotic and prosthetic hands, an understanding of the dynamic characteristics of grasp motions is fundame ...

IEEE2019