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Assessing Interaction Dynamics in the Context of Robot Programming by Demonstration

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Hand-worn Haptic Interface for Drone Teleoperation

Dario Floreano, Fabrizio Schiano, Matteo Macchini, Antoine Weber

Drone teleoperation is usually accomplished using remote radio controllers, devices that can be hard to master for inexperienced users. Moreover, the limited amount of information fed back to the user about the robot's state, often limited to vision, can r ...

2020

This study proposes a novel imitation learning approach for the stochastic generation of human-like rhythmic wave gestures and their modulation for effective non-verbal communication through a probabilistic formulation using joint angle data from human dem ...

ACM2020

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The real-time estimation through vision of the physical properties of objects manipulated by humans is important to inform the control of robots for performing accurate and safe grasps of objects handed over by humans. However, estimating the 3D pose and d ...

2020

Education is an art close to theater. A teacher is taking a role; he works his speeches and his gestures and he plays with the attention of his audience. But it is harder: more than entertaining, a teacher must shape the skills, the knowledge and the motiv ...

EPFL2020

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A key element for the success of any game is its ability to produce a different experience at each round, thus keeping the player engagement high. This is particularly important for those games that also have a serious objective, such as gamified rehabilit ...

2020

Multimodal pipe-climbing robot with origami clutches and soft modular legs

Jamie Paik, Frédéric Henri Vaskin Giraud, Hongying Zhang, Yongkang Jiang

In nature, climbing trees and pipes of varying diameters or even navigating inside of hollow pipes and tree holes is easy for some climbing animals and insects. However, today's pipe-climbing robots, which are important for automatically conducting periodi ...

2020

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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

Memory of Motion for Warm-Starting Trajectory Optimization

Sylvain Calinon, Emmanuel Pignat, Antonio Paolillo, Teguh Santoso Lembono

Trajectory optimization for motion planning requires good initial guesses to obtain good performance. In our proposed approach, we build a memory of motion based on a database of robot paths to provide good initial guesses. The memory of motion relies on f ...

2020

Using tabletop robots to promote inclusive classroom experiences

Wafa Monia Benkaouar Johal, Arzu Güneysu Özgür, Ana Paiva

Geometry and handwriting rely heavily on the visual representation of basic shapes. It can become challenging for students with visual impairments to perceive these shapes and understand complex spatial constructs. For instance, knowing how to draw is high ...

ACM2020

A Method for Quantifying Interaction Forces in Wearable Robots*

Immobility due to movement impairments causes many secondary conditions that are a threat to a person's health and quality of life. Wearable robotic mobility aids such as exoskeletons and exosuits are a promising technique to tackle immobility. These devic ...

2019