12 accepted papers
Autonomous control of double-Ackermann-steering robots is essential in agricultural applications, where robots must execute precise and complex maneuvers within a limited space. Classical methods, such as the Timed Elastic Band (TEB) planner, can address this problem, but they rely on parameter tuni…
Robotic manipulation of deformable linear objects (DLOs) has great potential for applications in diverse fields such as agriculture or industry. However, a major challenge lies in acquiring accurate deformation models that describe the relationship between robot motion and DLO deformations. Such mod
Navigation guided by natural language instructions is particularly suitable for Domestic Service Robots that interacts naturally with users. This task involves the prediction of a sequence of actions that leads to a specified destination given a natural language navigation instruction. The task thus
In this study, we focus on multimodal language understanding for fetching instructions in the domestic service robots context. This task consists of predicting a target object, as instructed by the user, given an image and an unstructured sentence, such as “Bring me the yellow box (from the wooden c
Domestic service robots (DSRs) are a promising solution to the shortage of home care workers. However, one of the main limitations of DSRs is their inability to interact naturally through language. Recently, data-driven approaches have been shown to be effective for tackling this limitation; however
In this paper, we address the automatic sentence generation of fetching instructions for domestic service robots. Typical fetching commands such as “bring me the yellow toy from the upper part of the white shelf” includes referring expressions, i.e., “from the white upper part of the white shelf”. T
In this letter, we address multimodal language understanding with unconstrained fetching instruction for domestic service robots. A typical fetching instruction such as “Bring me the yellow toy from the white shelf” requires to infer the user intention, i.e., what object (target) to fetch and from w
This letter focuses on a multimodal language understanding method for carry-and-place tasks with domestic service robots. We address the case of ambiguous instructions, that is, when the target area is not specified. For instance “put away the milk and cereal” is a natural instruction where there is
This letter proposes a control framework allowing to position a robot in range and orientation with respect to a sound source from a binaural system. To this end, a sensor-based control framework is developed upon interaural level difference (ILD) cues. ILD is known to be implicitly related to the s
This paper is a follow-up way to our previous works regarding audio-based control, that is an alternative method for auditory-based robot tasks. Conversely to classic methods oriented towards sound source localization, audio-based control is a sensor-based framework that does not localize the sound…
This paper validates experimentally a novel approach to robot audition, sound-based control, which consists in introducing auditory features directly as inputs of a closed-loop control scheme, that is, without any explicit localization process. The applications we present rely on the implicit bearin
This paper presents a novel approach to robot audition by performing robotic tasks with auditory cues. Unlike many previous works, we propose a control scheme, that does not require any explicit sound source localization. This approach is capable of controlling all the three degrees of freedom in a…