PP Restricted to other programme participants (including the Commission Services) RE Restricted to a group specified by the consortium (including the Commission Services) CO Confidential, only for members of the consortium (including the Commission Services) This deliverable is the continuation of the last year deliverables D2.1 and D2.2 in which we described algorithms and software that implements basic sensorimotor processes for learning of object-action complexes. In this deliverable we show the videos of the current state of implementation of these processes. More specifically, we show the following videos: • oculomotor control implementing foveation, • visual attention on a humanoid robot, • learning appearance-based object representat...
The functional independence of individuals with upper limb impairment could be enhanced by teleopera...
Abstract—Acquisition of new sensorimotor knowledge by imi-tation is a promising paradigm for robot l...
Object detection and recognition algorithms usually require large, annotated training sets. The crea...
The exploration and learning of new objects is an essential capability of a cognitive robot. In this...
I present my work on learning from video and robotic input. This is an important problem, with numer...
Abstract — This paper describes a developmental sequence that allows a humanoid robot to learn about...
This paper formalises Object-Action Complexes (OACs) as a basis for sym-bolic representations of sen...
This paper formalises Object-Action Complexes (OACs) as a basis for sym-bolic representations of sen...
This paper formalises Object-Action Complexes (OACs) as a basis for sym-bolic representations of sen...
Abstract — Teaching robots object manipulation skills is a complex task that involves multimodal per...
Robots currently recognise and use objects through algorithms that are hand-coded or specifically tr...
International audienceThe goal of this work is to design a visual system for a humanoid robot. Takin...
In this paper, we propose a novel visual learning framework for developmental robotics agents which ...
Infants extend their repertoire of behaviours from initially simple behaviours with single objects t...
The functional independence of individuals with upper limb impairment could be enhanced by teleopera...
The functional independence of individuals with upper limb impairment could be enhanced by teleopera...
Abstract—Acquisition of new sensorimotor knowledge by imi-tation is a promising paradigm for robot l...
Object detection and recognition algorithms usually require large, annotated training sets. The crea...
The exploration and learning of new objects is an essential capability of a cognitive robot. In this...
I present my work on learning from video and robotic input. This is an important problem, with numer...
Abstract — This paper describes a developmental sequence that allows a humanoid robot to learn about...
This paper formalises Object-Action Complexes (OACs) as a basis for sym-bolic representations of sen...
This paper formalises Object-Action Complexes (OACs) as a basis for sym-bolic representations of sen...
This paper formalises Object-Action Complexes (OACs) as a basis for sym-bolic representations of sen...
Abstract — Teaching robots object manipulation skills is a complex task that involves multimodal per...
Robots currently recognise and use objects through algorithms that are hand-coded or specifically tr...
International audienceThe goal of this work is to design a visual system for a humanoid robot. Takin...
In this paper, we propose a novel visual learning framework for developmental robotics agents which ...
Infants extend their repertoire of behaviours from initially simple behaviours with single objects t...
The functional independence of individuals with upper limb impairment could be enhanced by teleopera...
The functional independence of individuals with upper limb impairment could be enhanced by teleopera...
Abstract—Acquisition of new sensorimotor knowledge by imi-tation is a promising paradigm for robot l...
Object detection and recognition algorithms usually require large, annotated training sets. The crea...