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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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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, ...

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 ...

Verb concepts from affordances

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Object Grasping of Humanoid Robot Based on YOLO

Design of a Flexible Articulated Robotic Hand for a Humanoid Robot

Learning Task Priorities from Demonstrations

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

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

Embodied Flight with a Drone

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

On Force Synergies in Human Grasping Behavior