Opening doors is an essential task that a robot should perform. In this paper, we propose an approach to predict the action of opening doors, together with the action point where the action should be performed. The input of the classifier is a set of bounding boxes of the door and door handle, together with background knowledge in the form of logical rules. Learning and inference are performed with the probabilistic programming language ProbLog. We evaluate our approach on a dataset of doors and encouraging results are obtained.status: publishe
Robots working in human environments will often encounter tasks like cleaning apartments/o ce oors, ...
215 p.The main contributions of this research work remain in object recognition by computer vision, ...
Abstract. Door identification is a key problem to be solved during mobile robot navigation. Doors gi...
Finding and opening an unknown door autonomously is an unsolved challenge that the most advanced rob...
For an autonomous robotic system, detecting, opening, and navigating through doors remains a very ch...
Abstract — We describe a probabilistic framework for detection and modeling of doors from sensor dat...
The world around us is, often, surrounded by barriers: some of them are impassable while others, as ...
Robots are progressively spreading to urban, social and assistive domains. Service robots operating ...
Abstract — Computing a motion that enables a mobile manip-ulator to open a door is challenging becau...
Abstract — Fully autonomous robots will often need to open doors and traverse doorways in order to f...
For an autonomous robotic system, detecting, opening, and navigating through doors remains a very ch...
Abstract—The problem of door opening is fundamental for robots operating in domestic environments. S...
Multiple sensors are often used in robotic applications for better situational awareness. Hence, sen...
In recent years, probabilistic approaches have found many successful applications to mobile robot lo...
International audiencePurpose Many work conditions require manipulators to open cabinet doors and th...
Robots working in human environments will often encounter tasks like cleaning apartments/o ce oors, ...
215 p.The main contributions of this research work remain in object recognition by computer vision, ...
Abstract. Door identification is a key problem to be solved during mobile robot navigation. Doors gi...
Finding and opening an unknown door autonomously is an unsolved challenge that the most advanced rob...
For an autonomous robotic system, detecting, opening, and navigating through doors remains a very ch...
Abstract — We describe a probabilistic framework for detection and modeling of doors from sensor dat...
The world around us is, often, surrounded by barriers: some of them are impassable while others, as ...
Robots are progressively spreading to urban, social and assistive domains. Service robots operating ...
Abstract — Computing a motion that enables a mobile manip-ulator to open a door is challenging becau...
Abstract — Fully autonomous robots will often need to open doors and traverse doorways in order to f...
For an autonomous robotic system, detecting, opening, and navigating through doors remains a very ch...
Abstract—The problem of door opening is fundamental for robots operating in domestic environments. S...
Multiple sensors are often used in robotic applications for better situational awareness. Hence, sen...
In recent years, probabilistic approaches have found many successful applications to mobile robot lo...
International audiencePurpose Many work conditions require manipulators to open cabinet doors and th...
Robots working in human environments will often encounter tasks like cleaning apartments/o ce oors, ...
215 p.The main contributions of this research work remain in object recognition by computer vision, ...
Abstract. Door identification is a key problem to be solved during mobile robot navigation. Doors gi...