Hola,
¿eres nuevo aquí?

Regístrate gratis y conecta tu empresa con financiación pública, partners y proyectos.

Tengo cuenta

Regístrate

Ver video

ROBOHOW.COG

Financiado

Cerrado

Web enabled and Experience based Cognitive Robots that Learn Complex Everyday Ma...

Web enabled and Experience based Cognitive Robots that Learn Complex Everyday Manipulation Tasks Enabling robots to competently perform everyday manipulation activities such as household chores exceeds, in terms of task,activity, behavior and context complexity, anything that we have so far investigated in motion planning, co... ver más

31/07/2016

UBREMEN

9M€

Presupuesto del proyecto: 9M€

Líder del proyecto

UNIVERSITAET BREMEN No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Ver 9 Participantes

Financiación concedida El organismo FP7 notifico la concesión del proyecto el día 2016-07-31 No tenemos la información de la convocatoria

0% 76% 100%

Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

9 Participantes

UBREMEN

0.00€ | Lider

ALDEBARAN

N.D. | Participante

CNRS

N.D. | Participante

Proyectos interesantes

FAME

Robotics and Au...

Artificial Inte...

2M€ Cerrado

RTI2018-101114-B-I00

Robotics and Au...

Artificial Inte...

64K€ Cerrado

INVERSE

Robotics and Au...

Artificial Inte...

8M€ Cerrado

RTI2018-099522-B-C43

Robotics and Au...

Artificial Inte...

55K€ Cerrado

SPENCER

Robotics and Au...

Artificial Inte...

4M€ Cerrado

CoDyCo

Robotics and Au...

Artificial Inte...

4M€ Cerrado

Conecta tu I+D

¿Tienes un proyecto y buscas un partner? Gracias a nuestro motor inteligente podemos recomendarte los mejores socios y ponerte en contacto con ellos. Te lo explicamos en este video

Líder del proyecto

UNIVERSITAET BREMEN No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 9M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto Enabling robots to competently perform everyday manipulation activities such as household chores exceeds, in terms of task,activity, behavior and context complexity, anything that we have so far investigated in motion planning, cognitive robotics, autonomous robot control and artificial intelligence at large. For achieving robust, adaptive, effective and natural performance of everyday manipulation tasks, it is not feasible to expect that programmers can equip the robots with plan libraries that cover such open-ended task spectrum competently.RoboHow.Cog targets at enabling autonomous robots to perform expanding sets of human-scale everyday manipulation tasks - both in human working and living environments. To this end, RoboHow.Cog will investigate a knowledge-enabled and plan-based approach to robot programming and control where knowledge for accomplishing everyday manipulation tasks is semi-automatically acquired from instructions in the World Wide Web, from human instruction and demonstration (videos), and from haptic demonstration.The knowledge-enabled control will be made possible through extensions of constraint- and optimization-based movement specification and execution methods that allow for the force adaptive control of movements to achieve the desired effects and avoid the unwanted ones. In addition, novel perception mechanisms satisfying the knowledge preconditions of plans and monitoring the effects of actions will make the RoboHow.Cog approach feasible.The software components that will come out of RoboHow.Cog will be integrated into complete generic robot control systems such as ROS, and, in particular, into Aldebaran's humanoid platform Romeo. RoboHow.Cog will strive to make the code of many of its components - and even of large parts of the Milestone demonstrations -- publicly available under free/open source software licenses.

Conecta tu I+D

Entra hoy

¿Olvidé mi contraseña?

Financiación

Empresas

CTIs/Universidades

Proyectos

Investigadores